Postdoctoral scholar jobs in Edison, NJ

Our Client, multinational mass media and entertainment company, is looking for someone to join their team as an Ad Sales Researcher! **This is a hybrid 10 week contract role that takes place in NYC** Required Skills &Experience 6+ years experience as a researcher at a media brand or agency. Supplier-side experience a plus. Expertise in leading, designing, executing, and reporting primary market research. Strategic thinker with strong interest in advertising/media research, consumer behavior, and media usage. Experience mining large data sets and using data to tell clear and compelling stories. Experience with survey scripting and/or data analysis platforms like Qualtrics, Decipher, Quantilope, DisplayR, Crunch.io) Strong proficiency in Microsoft Excel and PowerPoint required. Team player with very strong communication and interpersonal skills. Focused on cultivating and growing strong internal and external relationships. Capable of handling multiple projects in a fast paced, deadline-driven environment. What You Will Be Doing Design and implement quantitative and qualitative research initiatives for the portfolio of NBCU brands. Partner with cross-functional teams to help identify relevant business issues, research objectives and hypotheses to land on the right methodological approach, with the ultimate goal of driving advertiser demand with those insights. Craft research instruments like surveys, discussion guides, and banner plans while managing fieldwork, analyzing data, and extracting core insights. Synthesize and interpret large datasets to develop new perspectives on consumer viewing behavior, while also leveraging third party data to contextualize and amplify the learnings. Uncover insights in an agile, dynamic business environment via multi-methodological approaches, inclusive of AI-based tools. You will receive the following benefits: Medical Insurance - Four medical plans to choose from for you and your family Dental & Orthodontia Benefits Vision Benefits Health Savings Account (HSA) Health and Dependent Care Flexible Spending Accounts Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance Hospital Indemnity Insurance 401(k) Paid Sick Time Leave Legal and Identity Protection Plans Pre-tax Commuter Benefit 529 College Saver Plan Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP's Employment Accommodation policy. Applicants need to make their needs known in advance.

About Us: At the Center for Food as Medicine and Longevity, we are pioneering the integration of nutrition and healthcare. By leveraging food's therapeutic potential, we aim to revolutionize how diseases are prevented, treated, and managed. We are embarking on an ambitious project to provide comprehensive academic literature reviews and practical guidance on using food and dietary supplements to treat various diseases and improve healthspan. How to Apply: (YOU MUST SEND AN EMAIL TO **********************) Key Responsibilities: Conduct in-depth research on the therapeutic use of food and dietary supplements for various health conditions and healthspan improvement. Draft detailed academic literature reviews, ensuring all information is thoroughly researched and supported by scientific evidence. Integrate research findings into coherent, accessible content that bridges scientific evidence with practical health advice. Manage and organize research materials, references, and drafts using Zotero. Edit and refine content to ensure clarity, accuracy, and engagement. Qualifications: Post-doc or recent Ph.D., MD, or DrPH graduate from a distinguished institution in science, nutrition, public health, or a related field Exceptional research, writing, and organizational skills Ability to develop and maintain guides on the impact of food and dietary supplements on various health conditions and longevity Expertise in conditions such as diabetes, heart disease, anxiety, depression, chronic respiratory diseases, and digestive disorders Commitment to producing scientifically robust and practical guides for healthcare providers and the public Why Join Us: Contribute to impactful work that has the potential to change lives and reshape healthcare Gain valuable experience in research, writing, and the intersection of nutrition and medicine Work with a passionate team dedicated to promoting health equity and innovative healthcare solutions Publication and Recognition Opportunities: Use the research material as a first author for narrative and/or systematic reviews Contribute to the development of resource guides, and your name will appear on our website as the key researcher for specific diseases and health span states. Compensation and Work Structure: This position offers a unique blend of academic and professional opportunities. While the postdoc will be compensated, this role also has a significant volunteer academic component. Stipend: $400 - $600 per literature review per assigned topic, such as Muscle Elasticity, Glowing and Radiant Skin, etc. Additional tasks outside pre-approved literature reviews will only be paid at approximately $25-30 per hour with prior written agreement. How to Apply: We want to hear from you if you're ready to contribute to this impactful project! You MUST send an email to ********************** with the following: A brief, informal introduction about yourself Your interest in this position Recent work and achievements A demonstration of your exceptional writing and organizational skills Your resume as an attachment Visit foodmedcenter.org for more information about our work and mission. Applications submitted through any other method will not be considered. Industry: Non-profit Organizations Employment Type: Part-time

Develop, optimize, and qualify/validate molecular and cell-based assays, including multi-parameter flow cytometry, cell phenotyping, functional assays, cytokine assays (ELISA/MSD/Luminex), qPCR/dd PCR, VCN analysis, and related potency methods. Culture and maintain primary human immune cells and engineered cell products; perform isolation, activation, expansion, and transduction/transfection workflows. Independently design, execute, and analyze experiments; document results in ELNs; interpret data and present findings to cross-functional groups. Support tech transfer of analytical methods into manufacturing/QC, including authoring SOPs, protocols, and technical reports. Collaborate cross-functionally to support product characterization, comparability, process development, release testing, stability studies, and assay troubleshooting. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

The Fine Lab The Fine lab is a Neuro-oncology research group that makes use of complex 3D human brain tumor models (GLICOs: ********************************************* ********************************************* to perform translational research into glioblastoma. We are a diverse, multinational and interdisciplinary team (MD/PhDs, cell/ molecular biologists, veterinarians & bioinformaticians) with a vibrant research and training environment in the Tri-Institutional Campus of New York City. We have secure funding and exceptional access to patient tissue/cell lines, as well as cutting edge scientific resources and training. The Role The successful candidate will be trained to work with embryonic stem cell-derived cerebral organoids interfaced with tumor stem cell biology, to facilitate High Throughput drug screenings. They will be a key personnel of the incipient Starr Foundation Cerebral Organoid Translational Core and will report to its supervisor. In achieving this goal, the candidate will have the opportunity to perform, and receive training in, a wide range of laboratory techniques including: reprogramming of induced pluripotent stem cells (iPSCs), embryonic and induced pluripotent stem cell culture, the generation and culture of cerebral organoids and tumor organoids and the use and development of cell based assays to test novel therapeutic drug candidates, and cutting edge gene editing and molecular biology techniques. They will be an integral member of the lab with the ability to work independently, contribute to experimental design, interpret and present your results to the wider team, and receive recognition through authorship on published work. Job responsibilities Collect and process biological patient specimens to establish glioma stem cell lines. Perform routine human iPSC/ESC culture. Generation and maintenance of hESC-derived cerebral organoids. Perform 2D and 3D high-throughput drug screening using luminescence-based assays. Prepares and maintains detailed records, logs and summary reports of all procedures and results including graphs, scientific calculations, and statistical analysis charting. May run routine biochemistry assays including western blotting and RT-PCR. May perform routine molecular biology laboratory procedures, such as PCR, DNA electrophoresis, cloning and DNA preparation. May perform microscopic imaging analyses. Minimum requirements: • Commitment to delivering meaningful advancements that directly enhance patient care and well-being. • Bachelor's degree in a relevant technical field (e.g. cell/ molecular biology, neuroscience, biochemistry) or equivalent practical experience. • One year ‘wet lab' work experience, including mammalian cell culture. • Strong teamwork skills with a proven ability to effectively interact and collaborate with other scientific disciplines. • Must currently be authorized to work in the United States to ensure immediate onboarding and integration into the team. Preferred qualifications • Master's or Ph.D. degree in a relevant technical field (e.g. cell/ molecular biology, neuroscience, biochemistry). • Experience culturing human stem cells (hESCs/ iPSCs) and 3D models. • Significant hands-on cell based assays for high throughput drug screening. • Experience generating stable, genetically engineered cell lines; working with lentivirus. • Experience in biochemistry assays including western blotting and RT-PCR. The position will be subject to annual approvals based on performance, with a starting salary commensurate with qualification and experience. It will require flexibility to work a few hours twice per month over the weekend given the nature of cerebral organoid generation procedures. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. Minorities are strongly encouraged to apply.

*This will be a 12-month contract with potential extensions *5 days on site in Raritan Required Skills & Experience •BS degree in polymer science, chemistry, material science, or related science is required •A minimum one (1) year related working experience is required if BS or MS degree •Previous experience in polymer characterization including thermal analysis (DSC, DMA, TGA), rheology, and x-ray diffraction testing (XRD) is required (at least 2/3 skills) •Must be able to work independently and effectively collaborate and communicate with other team members Nice to Have Skills & Experience -Experience in a GLP/GMP environment -Experience with medical devices -Experience with test method development Job Description A large life sciences/medical device client of ours is looking for a Polymer Science to join their team for a 12+ month contract. They will focus on polymer characterization, including rheology, thermal analysis (DSC, DMA, TGA), and x-ray diffraction (XRD), in support of new product development and life-cycle management. The associate will work closely with an appointed scientist to execute test methods, analyze and report results, and develop new procedures as needed. Key responsibilities include and maintaining instruments, preparing samples, ensuring timely testing and data reporting, maintaining accurate documentation and calibration records, and adhering to GMP/GLP practices. Additional tasks may involve microscopy, wet chemistry, and training other personnel.

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About the Team Safety Systems sits at the forefront of OpenAI's mission to build and deploy safe AGI, ensuring our most capable models can be released responsibly and for the benefit of society. Within Safety Systems, we are building a misalignment research team to focus on the most pressing problems for the future of AGI. Our mandate is to identify, quantify, and understand future AGI misalignment risks far in advance of when they can pose harm. The work of this research taskforce spans four pillars: * Worst‑Case Demonstrations - Craft compelling, reality‑anchored demos that reveal how AI systems can go wrong. We focus especially on high importance cases where misaligned AGI could pursue goals at odds with human well being. * Adversarial & Frontier Safety Evaluations - Transform those demos into rigorous, repeatable evaluations that measure dangerous capabilities and residual risks. Topics of interest include deceptive behavior, scheming, reward hacking, deception in reasoning, and power-seeking, along with other related areas. * System‑Level Stress Testing - Build automated infrastructure to probe entire product stacks, assessing end‑to‑end robustness under extreme conditions. We treat misalignment as an evolving adversary, escalating tests until we find breaking points even as systems continue to improve. * Alignment Stress‑Testing Research - Investigate why mitigations break, publishing insights that shape strategy and next‑generation safeguards. We collaborate with other labs when useful and actively share misalignment findings to accelerate collective progress. About the Role We are seeking a Senior Researcher who is passionate about red‑teaming and AI safety. In this role you will design and execute cutting‑edge attacks, build adversarial evaluations, and advance our understanding of how safety measures can fail-and how to fix them. Your insights will directly influence OpenAI's product launches and long‑term safety roadmap. In this role, you will * Design and implement worst‑case demonstrations that make AGI alignment risks concrete for stakeholders, focused on high stakes use cases described above. * Develop adversarial and system‑level evaluations grounded in those demonstrations, driving adoption across OpenAI. * Create automated tools and infrastructure to scale automated red‑teaming and stress testing. * Conduct research on failure modes of alignment techniques and propose improvements. * Publish influential internal or external papers that shift safety strategy or industry practice. We aim to concretely reduce existential AI risk. * Partner with engineering, research, policy, and legal teams to integrate findings into product safeguards and governance processes. * Mentor engineers and researchers, fostering a culture of rigorous, impact‑oriented safety work. You might thrive in this role if you * Already are thinking about these problems night and day, and share our mission to build safe, universally beneficial AGI and align with the OpenAI Charter. * Have 4+ years of experience in AI red‑teaming, security research, adversarial ML, or related safety fields. * Possess a strong research track record-publications, open‑source projects, or high‑impact internal work-demonstrating creativity in uncovering and exploiting system weaknesses. * Are fluent in modern ML / AI techniques and comfortable hacking on large‑scale codebases and evaluation infrastructure. * Communicate clearly with both technical and non‑technical audiences, translating complex findings into actionable recommendations. * Enjoy collaboration and can drive cross‑functional projects that span research, engineering, and policy. * Hold a Ph.D., master's degree, or equivalent experience in computer science, machine learning, security, or a related discipline (nice to have but not required). What we Offer * A chance to shape safety practices at the frontier of AGI. Your work will directly lower the changes of catastrophic misalignment. * Access to cutting‑edge models, tooling, and compute resources. * A highly collaborative, mission‑driven environment with world‑class colleagues. * Competitive compensation, equity, and benefits. If you're excited to push AI systems to-and beyond-their limits so we can deploy them safely, we'd love to hear from you! Join us in the taking on the most important challenge for the world today. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

We're looking for smart and curious individuals to join our growing team and drive our ML work. On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with thousands of high-end GPUs. Trading poses unusual challenges- large models and nonstationary datasets in a competitive multi-agent environment-that force us to search for novel techniques. At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production. We'll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches-drawn from LLMs, image models, RL agents, recommendation systems, or classical ML methods-to shape the future of ML at Jane Street. You'll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You'll also be hiring new colleagues, attending conferences, and teaching techniques to teammates-all of which we consider to be real and impactful parts of the job. About You If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. There's no fixed set of skills we are looking for, but you should bring: * Practical experience working on empirical ML problems * The ability to apply logical and mathematical thinking to all kinds of problems * Intellectual curiosity and excitement about state-of-the-art research across many ML problem domains * Fluency with a versatile set of models and tricks * The hands-on coding skills needed to rapidly implement and iterate on your ideas, in Python and your favorite ML framework * An eagerness to ask questions, admit mistakes, and learn new things If you'd like to learn more, you can read about our interview process and meet some of the team.

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You'll drive original research at the boundaries of AI, working on new models, algorithms, and architectures for reasoning in complex environments. Your work will shape the scientific agenda of the lab and inform everything we build. You'll have autonomy to pursue fundamental research and see your ideas deployed in real-world settings. Responsibilities Formulate and explore open questions in deep learning, reinforcement learning, and agent-based AI. Develop novel architectures, algorithms, and theoretical insights. Collaborate with engineers to implement, experiment, and iterate rapidly. Publish, present, and contribute to the broader research community. Mentor and support the next generation of technical talent. Requirements Demonstrated track record of impactful AI/ML research (e.g., papers, open-source, or novel deployments). Deep expertise in at least one of: LLMs, RL, agent-based systems, generative modeling, theory of intelligence. Strong mathematical background (probability, optimization, statistics). Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX). Ability to turn theory into robust, practical code. Up-to-date on the latest research in LLMs from reading papers, articles, or re-implementing breakthroughs. Expertise in leveraging the latest AI tools (Cursor, Claude Code, Codex, etc) to increase productivity & code output while maintaining high code quality, maintainability, and structure. Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy

Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission! A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape. Our work is fueled by a passion to serve our clients' needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset - Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees. This position will be responsible for performing non-research molecular testing of samples for potentially containing biological threat agents. Ensures incoming operational, QA, and other sample types are processed while maintaining chain of custody. Prepares reports, answers questions, troubleshoots, and makes recommendations to the supervisor for inclusion in comprehensive reports. Maintains and operates equipment properly and in a safe manner, including performing routine calibrations and adjustments. Performs all procedures in accordance with proper handling and storage of various materials. Additionally, will be responsible for maintaining knowledge and skills related to position and program. Laboratory operations are 7 days a week. Team members take turns with weekends and holidays to ensure results are reported each day. In the event of a public health emergency, extended work hours and alternative shift work may be required to maintain temporary emergency 24/7 operations. Kindly be aware that a pre-employment drug screening is a requirement. REQUIRED QUALIFICATIONS: Bachelor's degree from an accredited university in microbiology, molecular biology, or related course work in biological sciences. REQUIRES at least one year of laboratory bench experience, utilizing PCR, aseptic techniques and experience with biological assays. Laboratory training that is assigned or accompanies an associated course is not considered applicable training. Biological Safety Level (BSL)-3 experience is highly desirable. This position supports a federal contract which requires that all employees and job applicants hold a valid Green Card or US Citizenship at the time of application. #LI-OnSite A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status. Verification of education may be requested before or during the hiring process.

Department: Technology, R&D Reports to: CTO About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Position Description We are seeking a Postdoctoral Researcher in Quantum Optics to join our research and development team focused on QCi's entropy quantum computing solutions. This position is structured as a one-year contract, with the opportunity for extension based on satisfactory performance and mutual consent by both parties. The role emphasizes theoretical modeling and simulation of quantum photonic devices and systems and requires strong expertise in quantum optics. The successful candidate will collaborate closely with both the high-performance computing application team and the entropy computing hardware team to advance QCi's next-generation computational technologies. Duties and Responsibilities * Develop and apply theoretical models of quantum photonic devices and systems relevant to entropy quantum computing. * Perform simulations of optical components, integrated photonic circuits, and light matter interactions to guide device design. * Explore new architectures in quantum optics that enhance the efficiency and scalability of entropy-based computing solutions. * Contribute to algorithm-hardware co-design by identifying opportunities where photonic implementations provide competitive advantages. * Explore and develop quantum algorithms compatible with entropy computing in collaboration with the scientific computing group at QCi. * Publish and present research outcomes in journals and conferences. Required Skills and Experience * PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field with a focus on theoretical quantum optics. * Deep expertise in quantum optics, including fields such as quantum coherence, entanglement, cavity/circuit QED, or nonlinear optics. * Strong background in mathematical modeling and numerical simulation of photonic or quantum systems. * Proficiency in scientific programming languages such as Python, MATLAB, or C++. * Demonstrated research record with publications in leading journals. * Strong communication skills and ability to work collaboratively across interdisciplinary teams. Preferred Qualifications * Familiarity with quantum information science, quantum computing, or related computational approaches. * Experience with integrated photonics, waveguide-based systems, or light-matter interaction models. * Knowledge of statistical physics approaches to open quantum systems and noise modeling. * Industry, government, or academic R&D experience in quantum technologies. * Experience mentoring junior researchers or working in collaborative project teams. Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

Job DescriptionOriginally founded in 1991 as Harlem RBI, DREAM has grown to annually serve more than 2,500 youth across East Harlem and the South Bronx through a network of seven PreK-12, extended-day, extended-year DREAM Charter Schools and community sports-based youth development programs. Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom. We dream big, as well, with an aggressive five-year plan to expand to serve 3,500 students across seven schools-growing our organization's impact and leveling the playing field for all children. To learn more, visit wearedream.org. The Prospect Researcher plays a critical role in expanding DREAM's donor base through proactive prospect sourcing, research, and cultivation. Reporting to the Senior Director of Advancement Operations, the Prospect Researcher will continue to build a strong donor acquisition program that will source and qualify donors through research, strategic cultivation and fundraising events and partner with fundraising leads to build robust major gifts portfolios across the team. This role is a great opportunity for someone looking to evolve and grow a prospect research function as part of building a best-in-class major gifts program. The ideal candidate will demonstrate an expansive and strategic approach to prospect research, with a strong emphasis on accuracy, thoroughness, and meticulous record-keeping. Responsibilities Prospect Research and Identification Proactively identify potential prospects from a variety of sources, including databases, networks, and external events; Prepare and present detailed research reports on donor biographies, philanthropic interests, and giving capacity; Synthesize research into various documents to support the fundraising process, including in-depth prospect and donor profiles, biographies, lists, and meeting briefings; Execute relationship mapping for DREAM volunteer leaders and top donors; Utilize research and wealth screening tools, along with experience using database applications for prospect identification and management; Monitor news, trends, and wealth events to maintain up-to-date intelligence on high-net-worth individuals and potential donors. Donor Pipeline Building and Management Manage regular prospect reviews with frontline fundraisers to refresh portfolios and build their prospect pools; Collaborate with team leaders in portfolio reviews, prioritization, and qualification of new prospects; Provide strategic recommendations for donor engagement based on research findings, ensuring alignment with DREAM's new donor acquisition strategy. Systems and Operations Build systems, tools, and workflows to grow and evolve DREAM's prospect research function; Track and report KPIs measuring prospecting activity and results; Maintain and analyze data on prospective and existing donors; Assist in maintaining the accuracy and integrity of records in the donor database. Qualifications Bachelor's degree, preferred; Three plus years of dedicated prospect research experience in a non-profit setting; Excellent project management skills, including the ability to prioritize and organize work streams with high attention to detail and meet deadlines; Ability to quickly evaluate and synthesize large volumes of information into concise and actionable insights; Strong knowledge of research and wealth screening tools, along with experience using database applications for prospect identification and management; Analytical mindset and ability to use data to support efficiencies and strategies; Curiosity and ability to connect dots between donors and prospects; Strong entrepreneurial skills, a take-initiative attitude, and the ability to thrive in a fast-paced environment; Ability to create positive working relationships with a variety of internal and external stakeholders; A strong belief in the mission and values of DREAM, including the belief that all students can succeed, and a deep desire to make a difference in the lives of our students, families, and community. Working Expectations The Prospect Researcher is part of the Advancement team, which currently works 3 days in the office and up to 2 days remote, per week (subject to change, and with some weeks requiring more time in-person, for example for donor events); Some evening and/or weekend work, for example to attend donor events, is required. Benefits and Paid Time Off We offer comprehensive benefits including: Flexible Medical Health Plans, subsidizing the majority of costs for the employee, their spouse/domestic partner and children; The ability to select between a variety of medical plans according to what best suits the employee's needs; Dental and vision plans; Disability benefits; Life insurance; Up to 12 weeks fully paid of Parental Leave; Flexible spending account options; Pre-tax commuter benefits (parking and transit); Fitness and entertainment discounts; A variety of support through our employee assistance program (EAP); 403(b) retirement plan with employer match starting at 4% after one year, with increases tied to DREAM tenure; Referral, performance, and tenure milestones bonuses; Discounted school meals through our in-house Scratch Food Program; Tuition reimbursement support; Access to a professional development fund; All full-time Network Support Team employees are eligible for approximately 48 days off throughout the year including holidays, sick days, personal days and summer Fridays. Benefits are subject to change. Compensation DREAM offers a competitive salary commensurate with relevant experience with the potential for an annual performance-based increase. The incoming salary range for this position is $80,000 to $95,000 per year. New hires are typically brought into the organization at a salary closer to the start of the range depending on qualifications, internal equity, and the budgeted amount for the role. All staff are eligible for annual performance-based increases. Because we value staff tenure in each role, we do not currently cap salary ranges. Our Commitment to Diversity, Equity, and Inclusion At DREAM, diversity, equity, and inclusion are a matter of mission. From our schools to our playing fields, DREAM is committed to building a team where each individual can bring their full identity and experience to work because representation matters-it enriches our team culture, enhances our ability to innovate, and strengthens our impact in and out of the classroom. DREAM engages staff that represent and appreciate the diversity of our majority Black and Hispanic student body, while working to ensure that our practices are equitable, welcoming, and productive. We are dedicated to creating a world where youth, especially youth of color, have permission to dream-along with the tools and opportunities to make their dreams reality. Come dream with us. DREAM Maxims All Kids Can. This Kid Can.DREAM is Family.Fun is a Serious Value.Teamwork Makes the DREAM Work.Fail. Persist. Exceed.DREAM Big. Applying to DREAM We know applying for a new job can be a daunting process. In addition, studies have shown that historically underrepresented individuals often only apply to roles if they meet 100% of the qualifications. We encourage all applications! You may be just the person we need. If you have any questions about your application or interview process, do not hesitate to ask your recruiter; we are here to help! DREAM provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local laws. If accommodation is needed to participate in the job application or interview process, please contact your recruiter. If you are a current DREAM employee, please click here to review our Internal Selection Process before applying. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Department: Technology, R&D Reports to: CTO About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Position Description We are seeking a Postdoctoral Researcher in Quantum Optics to join our research and development team focused on QCi's entropy quantum computing solutions. This position is structured as a one-year contract, with the opportunity for extension based on satisfactory performance and mutual consent by both parties. The role emphasizes theoretical modeling and simulation of quantum photonic devices and systems and requires strong expertise in quantum optics. The successful candidate will collaborate closely with both the high-performance computing application team and the entropy computing hardware team to advance QCi's next-generation computational technologies. Duties and Responsibilities - Develop and apply theoretical models of quantum photonic devices and systems relevant to entropy quantum computing. - Perform simulations of optical components, integrated photonic circuits, and light matter interactions to guide device design. - Explore new architectures in quantum optics that enhance the efficiency and scalability of entropy-based computing solutions. - Contribute to algorithm-hardware co-design by identifying opportunities where photonic implementations provide competitive advantages. - Explore and develop quantum algorithms compatible with entropy computing in collaboration with the scientific computing group at QCi. - Publish and present research outcomes in journals and conferences. Required Skills and Experience - PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field with a focus on theoretical quantum optics. - Deep expertise in quantum optics, including fields such as quantum coherence, entanglement, cavity/circuit QED, or nonlinear optics. - Strong background in mathematical modeling and numerical simulation of photonic or quantum systems. - Proficiency in scientific programming languages such as Python, MATLAB, or C++. - Demonstrated research record with publications in leading journals. - Strong communication skills and ability to work collaboratively across interdisciplinary teams. Preferred Qualifications - Familiarity with quantum information science, quantum computing, or related computational approaches. - Experience with integrated photonics, waveguide-based systems, or light-matter interaction models. - Knowledge of statistical physics approaches to open quantum systems and noise modeling. - Industry, government, or academic R&D experience in quantum technologies. - Experience mentoring junior researchers or working in collaborative project teams. Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

JobID: 210672538 JobSchedule: Full time JobShift: Day Base Pay/Salary: Jersey City,NJ $152,000.00-$260,000.00; New York,NY $152,000.00-$260,000.00; Chicago,IL $133,000.00-$225,000.00; Brooklyn,NY $152,000.00-$260,000.00 As an Vulnerability Researcher - Assessments & Exercises at JPMorgan Chase in the Cybersecurity Technology & Controls line of business, you will contribute significantly to enhancing the firm's cybersecurity or resiliency posture by using industry-standard assessment methodologies and techniques to proactively identify risks and vulnerabilities in people, processes, and technology. Design and deploy risk-driven tests and simulations (or manage a highly-skilled team that does) and inform analysis to clearly outline root-causes. In this role, you will evaluate preventative controls, incident response processes, and detection capabilities, and advise cross-functional teams on security strategy and risk management. We are seeking a dedicated vulnerability researcher to engage in advanced vulnerability analysis and research, addressing the complex demands of our mission. In this role, you will work closely with fellow researchers and defense teams to identify vulnerabilities and develop cutting-edge solutions. The ideal candidate will be self-motivated, possess extensive technical curiosity, and have a strong background in reverse engineering. You will thrive in a collaborative environment, working on challenging targets to enhance our security posture. Job responsibilities * Design and execute testing and simulations - such as penetration tests, technical controls assessments, cyber exercises, or resiliency simulations, and contribute to the development and refinement of assessment methodologies, tools, and frameworks to ensure alignment with the firm's strategy and compliance with regulatory requirements * Evaluate controls for effectiveness and impact on operational risk, as well as opportunities to automate control evaluation * Collaborate closely with cross-functional teams to develop comprehensive assessment reports - including detailed findings, risk assessments, and remediation recommendations - making data-driven decisions that encourage continuous improvement * Utilize threat intelligence and security research to stay informed about emerging threats, vulnerabilities, industry best practices, and regulations. Apply this knowledge to enhance the firm's assessment strategy and risk management. Engage with peers and industry groups that share threat intelligence analytics * Conduct in-depth vulnerability research and exploit development across a broad range of software on modern operating systems, edge devices, on premise, and open-source software. * Reverse engineer binaries using tools such as IDA Pro, Ghidra, or Binary Ninja to identify novel attack surfaces and develop proof-of-concept exploits. * Use common VR toolsets such as Fuzzers, disassemblers, debuggers, and code browsers for static and dynamic analysis. * N-Day vulnerability analysis, patch diffing, and zero-day vulnerability research. * Collaborate with other teams to share findings, support vulnerability triage, patch prioritization, and IOCs sharing, supporting the firm's mission requirements. * Document research findings, proof-of-concepts, and technical workflows. Required qualifications, capabilities, and skills * Obtain 5+ years of experience in cybersecurity or resiliency, with demonstrated exceptional organizational skills to plan, design, and coordinate the development of offensive security testing, assessments, or simulation exercises * Track record of discovered vulnerabilities (CVEs) in high-profile targets in at least one of the following environments: operating systems, mobile devices, web applications, browsers. * Proven hands-on experience in vulnerability research and PoC/exploit development, reporting, and mitigating security vulnerabilities in open-source projects. * Expertise in advanced analysis frameworks leveraging symbolic execution techniques and dynamic binary instrumentation to uncover, triage, and exploit complex software vulnerabilities. * Hands-on proficiency exploiting complex vulnerability classes - including user-after-free, double free, type confusion - and applying advanced exploitation techniques such as heap spraying and controlled memory corruption to achieve reliable code execution. * Strong understanding of at least two operating systems internals throughout user mode and kernel mode (Microsoft Windows, GNU/Linux, Android, MacOS, or iOS). * Experience auditing large C/C++, Java, and .Net codebases combining automated static analyzers with manual review to trace data and control flow, uncover memory-safety, injection, and deserialization vulnerabilities and produce proof-of-concept code. * Extensive reverse engineering expertise on x86/x64 and ARM/ARM64 binaries, employing IDA Pro, Ghidra, Binary Ninja, WinDbg, GDB, and RR for deep static/dynamic analysis and root cause vulnerability discovery. * Knowledge of US financial services sector cybersecurity or resiliency organization practices, operations risk management processes, principles, regulations, threats, risks, and incident response methodologies * Ability to identify systemic security or resiliency issues as they relate to threats, vulnerabilities, or risks, with a focus on recommendations for enhancements or remediation, and proficiency in multiple security assessment methodologies (e.g., Open Worldwide Application Security Project (OWASP) Top Ten, National Institute of Standards and Technology (NIST) Cybersecurity Framework), offensive testing tools, or resiliency testing equivalents * Excellent communication, collaboration, and report writing skills, with the ability to influence and engage stakeholders across various functions and levels Preferred qualifications, capabilities, and skills * Bachelor's degree in computer science, or PhD in a related technical field, or an equivalent combination of education and/or experience in a related field. * 5+ years of experience in exploit research and development. * Experience using Fuzzing tools such as LibFuzzer, LibAFL, AFL++, OSS-Fuzz, Syzkaller and program analysis tools such as LLVM, Angr, KLEE, Intel Pin, DynamoRIO, and Frida. * Experience emulating embedded platforms for live debugging. * Kernel and low-level OS development. * Deep Linux internals knowledge (SELinux, AppArmor, Seccomp, eBPF, containers, VMs). * Deep Windows internals knowledge (KASLR, DSE, SSDT, IDT, SMEP, SMAP, PXN, KPP, KDP, VBS, HVCI, KMCI, UMCI).

CTC is a cutting-edge proprietary trading firm with a long-term vision and a clear focus on helping the world price and manage risk. Our fun and trusting culture inspires us to solve the industry's most challenging problems and take calculated risks in a collaborative environment. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. The Role Quantitative research is a key driver of innovation at CTC and one of the pillars upon which our firm is built. As a Quantitative Researcher, you'll operate near the tip of the spear in a collaborative, dynamic environment. This includes close partnership with other researchers, traders, and engineers on quantitative problem-solving, trading strategy generation, back-testing, statistical analysis, and system design. Our environment of collaborative innovation and intellectual curiosity allows us to share in our victories while continually challenging ourselves to stretch the limits of our creativity. Take advantage of this opportunity to apply the scientific method to business problems as part of one of our Quant teams at CTC! We prioritize team matching at the outset of our hiring process, thoughtfully considering which of our two teams (Vol Overlay or Delta Force) offers the best fit for each candidate's strengths and interests while also aligning to the firm's highest priority needs. What We're Looking For We are seeking a Quantitative Researcher who can seamlessly blend academic rigor with practical application in our fast-paced trading environment. This individual will partner with our Trading and Technology teams to strengthen, scale, and evolve the firm's trading capabilities. The ideal candidate will possess a unique combination of analytical prowess, programming skills, and eye for business, driving innovation and results in quantitative finance. Responsibilities Analyze market data to come up with economic and microstructure hypotheses Build predictive and explanatory models to describe financial markets Add revenue by applying thorough research processes to real life business problems Contribute to ongoing improvement of research and trading infrastructure Qualifications PhD in Science or Engineering fields (e.g. Statistics, Mathematics, Applied Mathematics, or Operations Research) Proven ability to conduct independent, high-quality research Exceptional ability to communicate complex ideas and research results, both in writing and verbally Unwavering commitment to quality, coupled with a drive for delivering commercial outcomes. Demonstrated expertise in applying quantitative modeling techniques to large, complex datasets Strong track record of publications in an industry setting Advanced Python programming skills Nice to Have Proficiency in C++ (specifically for the Delta Force opening) Experience in financial markets Experience using NumPy and Pandas libraries Experience with the software development lifecycle Compensation The salary range for this role is listed below. This role is also eligible for an annual discretionary bonus. The discretionary bonus will be dependent upon the individual's skills, experience, qualifications, and firm performance. Salary Range$200,000-$225,000 USD Most teams at CTC, with the exception of Trading, follow a hybrid workplace model, subject to change based on business need. Our Benefits We strongly believe in the well-being of our employees and their families so we offer outstanding benefits to support you both professionally and personally. These benefits include generous medical coverage, paid parental leave, free breakfast and lunch (plus healthy snacks, of course), wellness reimbursement, quarterly recharge days, and a variety of other benefits focused on providing the best employee experience. (Disclaimer: interns and contractors are not eligible for benefits at CTC) Our Commitment to Diversity, Equity and Inclusion At CTC, we aim to cultivate a workplace that celebrates diversity and each person feels included, engaged and empowered. Where each of us feels we belong. We are committed to having a diverse workforce and are proud to be an equal opportunity employer. CTC does not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us at ***********************. Note that emails sent to this email account for non-disability related issues, such as following up on an application, will not receive a response. Use of Artificial Intelligence (AI) Information submitted by job applicants may be subject to review and analysis by automated systems, including Artificial Intelligence (AI), as part of the recruitment process. Such systems are utilized to enhance the efficiency and effectiveness of our hiring procedures. Applicants are advised that any information provided may be evaluated by AI tools to ensure an equitable and thorough assessment.

Job DescriptionDescriptionOverview The Strategy & Public Impact team is The New York Public Library's central node of information and insights about its users, usage, and impact. We support decision makers and program staff across the institution through business intelligence, impact assessment, strategic conversations, user research, and data mentorship. The Patron Impact & Satisfaction Researcher will play an important role in helping the Library meet its full potential as a vital, relevant, and accessible public institution that is equitably used across our service area. Our patrons' satisfaction with the quality and outcomes of their library experience not only influences their future library use - it can also shape their views of, and support for, civic institutions and public life more broadly. The Patron Impact & Satisfaction Researcher's mandate is the development, analysis, and dissemination of survey-derived metrics tracking our patron (and broader community) experience, satisfaction, and impact, at the level of the Library overall, as well as its specific programs and services. This is a great opportunity for someone interested in applying their research and analytical skills to identifying the drivers underlying library “magic” and recommending ways to broaden and deepen it, thereby enhancing our benefit to the communities we serve. Key responsibilities Metric development: Translate outcome and impact goals from internal logic models into a core set of experience, satisfaction, and impact measures for specific offerings, and for the Library overall Survey development and testing: Operationalize these metrics into survey questions to be administered to patrons and community members Data infrastructure: Build the process by which these metrics are regularly gathered, at scale, in living data streams across the Library's physical and digital touchpoints Data monitoring: Develop approaches to continuously track patterns in metrics Data analysis: Determine the core drivers underlying experience, satisfaction, and impact across time, location, audience, and at key points in service life cycle Synthesis with other research: Build bridges between these metrics and the Strategy & Public Impact team's other data streams, marrying trends and insights from survey responses to patterns of usage (e.g. attendance, borrowing) Opportunity identification: Make programmatic and policy recommendations to better fulfill unmet patron and community needs Cross-team communication and partnership: Share trends, insights, and recommendations with program and operational partners across the Library, collaborating on actionable improvements to experience, satisfaction, and impact In 1 month, the Patron Impact & Satisfaction Researcher will: Get acquainted with Strategy and Public Impact patron research approaches and our qualitative and quantitative data streams Learn the organizational structure of the Library, meet our key internal stakeholders, and absorb what we have already learned about our patrons and the communities they come from Get acquainted with the Library's mission and current goals of the major divisions of the institution In 3 months, they will: Become proficient in our ongoing patron research, existing metrics and key reports, and identify areas of patron experience and library impact for core metric development Join the team in creating and fielding patron and staff surveys, and drafting reports based on our findings In 6 months, they will: Take primary responsibility for survey-based research: from understanding the research questions, through translating them into survey questions and methodologies, and fielding patron and staff surveys, to analyzing and synthesizing the results Suggest ways of enriching and deepening the findings from qualitative research and surveys with other data streams (e.g., circulation or visits) Independently prepare reports communicating our findings to various internal and external audiences Join the team in raising and articulating questions driving our future research agenda Required Education, Experience & SkillsRequired Education & Certifications Bachelor's degree required, a graduate degree in social science or other relevant discipline recommended 2 years of hands-on professional experience - or an equivalent combination of education and work experience - in an applied research role involving survey and metrics development and analysis Preferred experience with survey-based research in a non-profit, educational or cultural institution setting Required Skills Strong command of survey methods and evaluation methodologies, including potential research questions and techniques and research tools/software Familiarity with core statistical techniques such as significance testing, correlation, regression, distributions, factor and cluster analysis, and basic predictive modeling Basic proficiency in R (preferred), Python, or other statistical programming language Advanced proficiency in Microsoft Office and Google apps suites, especially Excel and Google sheets Ability to systematize output from, and detect patterns within, qualitative data sets Ability to independently produce high-standard, presentation-ready deliverables Ability to clearly and persuasively communicate analytical insights and methodologies verbally, visually, and in writing to employees at all levels of the organization Ability to to establish trusting relationships within a diverse organization, across multiple levels of management and staff Demonstrated learning mindset, with a continual appetite for developing skills, asking new questions, and absorbing information Preferred: ability to communicate effectively in Spanish or Chinese Managerial/Supervisory Responsibilities More...Please Note: Effective August 2, 2021, absent a qualifying exception for medical or religious reasons, newly hired employees of the New York Public Library must present proof of receipt of a COVID-19 vaccination and may not begin employment at the Library until 14 days after their receipt of their second dose of either the Pfizer or Moderna vaccines or 14 days after their first dose of the Johnson & Johnson vaccine. Newly hired employees who need additional time to receive their vaccination prior to their start date may request an adjournment of their start date with their hiring manager. The Library will consider such requests on a case by case basis, depending upon the Library's operational needs, among other factors. The Library will further consider exemptions for prospective employees who cannot become vaccinated due to a qualifying medical condition or a sincerely held religious belief or practice. Candidates who receive a conditional offer of employment and who seek a medical or religious exemption to the Library's vaccination policy will be provided with additional instructions at the time of the conditional offer. Core Values All team members are expected and encouraged to embody the NYPL Core Values: Be Helpful to patrons and colleagues Be Resourceful in solving problems Be Curious in all aspects of your work Be Welcoming and Inclusive Work Environment Office setting (with some flexibility to telecommute 2-3 days a week, work duties and general Library policy allowing) Managerial/Supervisory Responsibilities N/A Physical Duties May require travel within NYC (related to fielding surveys, visiting NYPL branches and the communities we serve) Pre-Placement Physical Required? No Union/Non Union Non-Union FLSA Status Exempt Schedule 35 hrs/week

Job Description IVI RMA of North America state-of-the-art fertility clinics is currently seeking a Mid-Level EMBRYOLOGIST to join our growing team at RMA Basking Ridge. This position will be responsible for executing IVF laboratory procedures according to established policies as well as adhering to RMA's quality assurance/control operating procedures. The ideal candidate will build on previous embryology experience and train to perform all aspects of clinical embryology independently and in accordance with RMA's Laboratory Philosophy, Mission, and Performance Standards. Responsibilities: Follow established policies for IVF procedures, specimen handling, and tissue storage Maintain quality assurance, quality control, and operating guidelines for lab services Adhere to quality control policies and documentation requirements. Follow OSHA requirements for safe lab operation Obtain proficiency to perform all lab services efficiently and reliably on an independent basis Participate in clinical and research lab operations as directed Identify problems that may adversely affect patients and facilitate a solution Participate in lab proficiency testing Attend laboratory meetings as requested Attend continuing education programs as requested Requirements: Bachelor's of Science 2+ years embryology experience Demonstrate an aptitude for performance of laboratory services Aptitude to make appropriate judgments regarding clinical significance of laboratory data Excellent work ethic and motivation to learn lab procedures High level of listening and counseling skills Aptitude to work independently and demonstrate good judgment Ability to access, input, and retrieve information from a computer. Knowledge of office procedure and office machines (i.e., computer, fax, copier, etc.) Must be able to work weekends and some holidays IVI-RMA offers a comprehensive benefits package to all employees who work a minimum of 30 hours per week. Medical, Dental, Vision Insurance Options Retirement 401K Plan Paid Time Off & Paid Holidays Company Paid: Life Insurance & Long-Term Disability & AD&D Flexible Spending Accounts Employee Assistance Program Tuition Reimbursement About IVIRMA Global: IVIRMA is the largest group in the world devoted exclusively to human Assisted Reproduction Technology. Along with the great privilege of providing fertility care to our patients, IVIRMA embraces the great responsibility of advancing the field of human reproduction. IVIRMA Innovation, as one of the pillars of IVIRMA Global, is a renowned leader in fertility research and science. Check out our websites at: *********************** & *********************** EEO “IVIRMA is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: IVIRMA is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at IVIRMA are based on business needs, job requirements and individual qualifications, without regard to race, color, religion and/or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. IVIRMA will not tolerate discrimination or harassment based on any of these characteristics. IVIRMA encourages applicants of all ages.” 3 days a week Monday-Friday and every other weekend

Applied Researcher I (AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Our goals are to give you a real sense of what it's like to work at Jane Street full time as a Machine Learning Researcher, and a truly unparalleled educational experience. You'll work side by side with experienced ML Researchers on projects that we've selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside our own unique twists to train practical models. At Jane Street, the lines between research, technology, and trading are intentionally blurry. As our strategies grow more sophisticated, close collaboration is essential for continuing to push the boundaries of what's possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. Trading poses unusual challenges-large models and nonstationary datasets in a competitive multi-agent environment-that force us to search for novel techniques. You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored dataset, try a new modeling paradigm for a thorny problem, or consider blue-sky approaches that we're still trying to figure out. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing the predictions your model makes. Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication. About You If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. You should be: A PhD student or postdoc with practical experience working on empirical ML research problems Interested in applying logical and mathematical thinking to all kinds of problems Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn from many problem domains Fluent with a versatile set of models and tricks Able to rapidly implement and iterate on your ideas in Python and your favorite ML framework Eager to ask questions, admit mistakes, and learn new things If you'd like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street's internship program here. If you're a recruiting agency and want to partner with us, please reach out to **********************************.