Research internship jobs in Corning, NY - 2,413 jobs

A leading public affairs agency in Washington, DC seeks a Director for their Insights research team. This role involves managing consumer insights, corporate, and market research projects, requiring 6-8 years of relevant experience. Candidates must excel in project management, client engagement, and have a background in both quantitative and qualitative methods. A comprehensive benefits package and discretionary bonus are included. #J-18808-Ljbffr

The Epic Research Analyst I will be the principal analyst for the Epic Research module and the Research departments systems that might interface into Epic. They should have a thorough understanding of available technology, tools, and existing designs. This position is a full-time/salaried opportunity based in Hicksville, Long Island. Onsite schedule for the first 90 days, hybrid thereafter with 2 remote days. Duties and Responsibilities: 1. Provides guidance, expertise, and solutions related to available system options for build requests throughout all phases of the project development cycle. 2. Works closely with client management, clinical end users, operations, and leadership to identify and specify the complex business needs and processes for diverse development of workflows within the EHR as it applies to Research. 3. Researches and evaluates alternative solutions and recommends the most efficient and cost-effective solutions for the systems design. 4. Performs analysis and system design. May code new or modified programs, reuse existing code with program development software alternatives and/or integrates purchased solutions. 5. Documents, tests, implements, and provides on-going support for the applications. 6. Provides highly technical consulting and leadership in identifying and implementing new uses of information technologies that assist the functional business units in meeting their strategic objectives. 7. Acts as expert technical resource to development staff in all phases of the development and implementation process. 8. Performs related duties as assigned or requested. Requirements: · Education: Bachelor's degree, or an equivalent combination of education and work experience. · Epic proficiency or certification in Epic Research module · Strong understanding of Epic integration with various external platforms and systems · Strong communication, organizational and leadership skills

Our client is looking to hire a hands-on, senior level leader who will create the strategy and execution plan for building an online panel including estimated costs, timelines/milestones, recruitment channels, profiling, incentives, fulfillment, retention, quality, staffing needs, etc. The ideal candidate will have a proven history of creating online market research panels from the ground up. Responsible for… Creating a Panel Development Strategy and Implementation Plan that caters to our client's most frequently surveyed audiences. Creating and executing campaigns with a goal of attracting and retaining our client's most-needed demographics. Leveraging our client's brand recognition and reputation in key markets to reinforce the benefits of participation Developing effective and organic recruitment strategies (social media, traditional, etc.) Create content to drive interest in and engagement with the panel Create a plan to conduct continuous analysis of campaign effectiveness and other measurable metrics Help to facilitate a positive member experience with exceptional customer support Create measurable metrics to track - panel quality, member experience, member engagement, attrition, recruitment, incentives, fulfillment, etc. Creating consistent panel activities to keep members engaged, even if there isn't a pressing research need at the time. Hire, train and develop your own panel support team and evaluate employee performance.

The Department of Civil Engineering and Engineering Mechanics at Columbia University is seeking a highly motivated and skilled Postdoctoral Researcher to join our team in Experimental Solid Mechanics . This is an exciting opportunity to contribute to cutting‑edge research aimed at advancing our understanding of material behavior in extreme environments experimentally, in collaboration with the computational mechanics group. The successful candidate will be involved in an experimental effort to investigate the mechanics of materials subjected to dynamic loading. The research will involve the use of advanced experimental techniques, such as digital image correlation, Hopkinson bar, and analytical tools to gain insights into the behavior of materials under various loading conditions. We are looking for a candidate with the following qualifications: Solid Mechanics Background : A strong foundation in the principles of solid mechanics, including material behavior, deformation, and failure. Experimental Techniques : Hands‑on experience with experimental methods and equipment relevant to solid mechanics testing (e.g., mechanical testing systems, strain measurement, high‑speed imaging, digital image correlation). Problem‑Solving and Analytical Skills : Ability to independently identify, troubleshoot, and solve complex experimental and analytical problems. Communication Skills : Strong written and verbal communication skills, able to present research findings to both technical and non‑technical audiences. Collaboration Skills : Proven ability to work effectively in multidisciplinary research teams Preferred Qualifications Ph.D. in Mechanical Engineering, Civil Engineering, Materials Science, or a related field. Demonstrated publication record in relevant areas of research. Experience with custom experimental setup development and instrumentation is a plus. Interested applicants should submit the following documents: A cover letter detailing research experience and interests Curriculum vitae (CV) Contact information for at least two academic references Relevant publications (optional) Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University?s good faith and reasonable estimate of the range of possible compensation at the time of posting. #J-18808-Ljbffr

Research Associate Type: Full-Time Salary Range: $60k to 64k/PA base + uncapped monthly bonus Our client a fast-growing global research and consulting firm that connects leading financial institutions, consulting firms, healthcare Firms, and corporations with industry experts to support strategic decision-making. The team specializes in facilitating expert interviews, surveys, and insights across a wide range of industries and markets. Why Join This is an exciting opportunity to kickstart your career in research, business development, and client engagement. As a Research Associate, you'll help top-tier clients-like investment funds and consulting firms-gain insights by identifying and connecting them with subject matter experts across industries. You'll gain exposure to a wide variety of sectors, from eCommerce to energy, healthcare to finance, all while building your business acumen, communication skills, and strategic thinking. Responsibilities: Own end-to-end execution of multiple client research projects simultaneously Analyze client briefs to understand research objectives and key pain points Conduct high-level industry research to identify relevant expert profiles Source, screen, and recruit industry experts (C-suite, senior executives, specialists) Develop screening questions and qualification criteria for expert selection Communicate directly with hedge funds, private equity firms, and consulting clients Negotiate expert consultation rates independently Coordinate scheduling, onboarding, and delivery of expert consultations Manage international and cross-office projects with senior stakeholders Build long-term expert relationships and internal knowledge bases Qualifications Graduated in Spring/Summer 2025 or Dec 2025 with a Bachelor's degree (minimum 3.3 GPA preferred) 6-12 months of work or internship experience in a fast-paced, client-facing or research-oriented environment Excellent verbal and written communication skills Strong research, organizational, and time-management skills Team-oriented with the ability to work independently under tight deadlines Entrepreneurial mindset with a desire to learn and grow Leadership experience through internships, student organizations, or part-time work Fluency in English (other languages are a plus) Comfortable speaking with senior-level professionals and building rapport quickly Ideal Candidate Profile Smart, curious, and commercially minded Comfortable with ambiguity and fast turnaround times Competitive but collaborative Coachable and receptive to feedback Confident, polished, and professional Who Succeeds in This Role? Someone who is curious, solutions-driven, confident, and professional. You'll thrive if you're a natural communicator, quick learner, and team player who enjoys connecting people and solving business problems.

David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Research team As an audio data research company, we believe model capabilities come from high quality, differentiated data. David AI's research team performs ambitious, long-term research into audio capabilities, while working with internal and external stakeholders to productionalize the latest research insights. About this role As a Founding Audio AI Research Engineer, you'll define the research agenda that shapes how the world's best AI labs train their audio models. You'll have a world‑class workforce of human AI trainers, compute resources, and independence to drive your roadmap. In this role, you will Define and build comprehensive evaluation frameworks for audio AI capabilities across speech, emotion, conversation dynamics, and acoustic patterns. Research and prototype novel approaches to audio quality assessment, automated labeling, and data collection optimization. Design targeted data collection pipelines for novel, high-value audio capabilities Architect automated systems for continuous classifier improvement and prompt engineering evaluation. Evaluate frontier models and create actionable research directions. Publish findings and papers in top conferences. Your background looks like 3+ years of experience in AI/ML research or engineering, preferably with multimodal models Proven ability to translate research insights into production systems and scalable solutions. Experience with Python and PyTorchExperience designing and conducting rigorous ML experiments and evaluations. Bonus points if you have PhD or Masters in Computer Science or a related field with a focus on ML or audio/speech. Published research work in top‑tier CS, AI and/or audio‑related conferences. Strong record of publication in evaluations or data, particularly for audio/speech. Experience in large scale data processing or high performance computing. Benefits Unlimited PTO. Top‑notch health, dental, and vision coverage with 100% coverage for most plans. FSA & HSA access. 401k access. Meals 2x daily through DoorDash + snacks and beverages available at the office. Unlimited company‑sponsored Barry's classes. #J-18808-Ljbffr

Title: Cybersecurity Research Engineer - Embedded Systems Employment Type: Contract to Hire (6-12m contract to hire) MUST BE ABLE TO OBTAIN SECRET CLEARANCE As a Lead Cybersecurity Engineer - Embedded Systems, you will be responsible for the transition of breakthrough cybersecurity technologies from lab concepts to fieldable prototypes that protect critical industrial and defense systems. You'll collaborate across businesses, suppliers, universities, and industrial partners; lead technical work scopes and small-to-medium R&D projects; and contribute to the broader community through publications, patents, and open-source engagement. Roles and Responsibilities: Work with businesses to develop and transition cybersecurity technologies for embedded systems from early-stage lab demonstrations to fieldable prototypes. Work with hardware suppliers and engineering tool providers to identify the best solutions for the most challenging industrial and defense applications. Collaborate with universities, industrial consortiums, commercial partners, and others to advance the state of the art in OT cybersecurity for embedded systems. Lead and manage small- to medium-sized R&D projects or tasks. Publish technical papers, file patents, and contribute to open-source communities. Assist with the development of new business opportunities by contributing to or leading external proposals. Required Qualifications: Ph.D. in Computer Science, Electrical Engineering, or related disciplines OR master's degree in computer science, Electrical Engineering, or related disciplines with a minimum of 3 years of industry experience OR bachelor's degree in computer science, Electrical Engineering, or related disciplines with a minimum of 5 years of industry experience. Strong background in software development for embedded systems such as: computer architecture, Linux OS, network protocols Strong embedded programming skills such as: C/C++, Python, Bash/Shell Experience with Linux security and Linux driver development. Experience with Industrial protocols such as Modbus/TCP, Modbus RTU, DNP3, EtherNet/IP, PROFINET, OPC UA/DA, BACnet, IEC 60870-5-104, IEC 61850, MQTT, CAN/CANopen Experience with ICS/SCADA architectures such as PLCs/RTUs/HMIs, Historians, Fieldbus, edge gateways, DMZ patterns Experience with OT network design such as Purdue Model, segmentation, VLANs, firewalls, zero-trust in OT Experience with OT security standards and practices such as IEC 62443, NERC CIP, NIST 800-82, SBOM, secure firmware updates Experience with Monitoring and remote access such as Passive asset discovery, protocol-aware IDS, secure vendor access, MFA in OT environment Experience with Deterministic networking and timing concepts such as QoS, PTP, TSN considerations in safety-critical systems Experience with device hardening including pen testing Experience with hardware-based security (e.g., HSM, TPM, ARM TrustZone, Secure Boot, etc.). Working knowledge of cryptographic algorithms, protocols, or standards (e.g., TLS, X.509). Experience with embedded development in an RTOS environment (e.g., QNX, VxWorks, etc.). Experience with embedded Linux (e.g., Yocto) and firmware development.

The purpose of this job is to explore external data resources, to extract discovered data through web scraping, and to evaluate the effectiveness of the external data on model improvement. Essential Duties and Responsibilities: Explore potential useful external data resources. Extract external data through web scraping. Evaluate the effectiveness of external data on model improvement. Participates in special projects and performs additional duties as required. QualificationsEducation and Experience: College student from an accredited institution preferably in Computer Science or Data Science Experience in web scraping preferred. Experience to pull data using API call preferred. Experience with developing regression model a plus. Skills: Proficient in programming Python, R, or SQL. Proficient in Microsoft Office Suites. Understand data structures. Good verbal and written communication skills. The salary range for this role is $16.50/hr - $30/hr. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role and business needs. Base pay is just one component of GNY's total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.

Scale AI is seeking a technically rigorous and driven AI Research Engineer to join our Enterprise Evaluations team. This high-impact role is critical to our mission of delivering the industry's leading GenAI Evaluation Suite. You will be a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise. The ideal candidate has a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and thrives in a dynamic, fast-paced research environment. We are looking for an engineer who can think outside the box, stays current with the latest literature in AI evaluation, and is passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems. Responsibilities Partner with Scale's Operations team and enterprise customers to translate ambiguity into structured evaluation data, guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems. Analyze feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments. Design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems. This includes creating models that critique, grade, and explain agent outputs (e.g., RLAIF, model-judging-model setups), along with scalable evaluation pipelines and diagnostic tools. Pursue research initiatives that explore new methodologies for automatically analyzing, evaluating, and improving the behavior of enterprise agents, pushing the boundaries of how AI systems are assessed and optimized in real-world contexts. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 2+ years of experience in Machine Learning or Applied Research, focused on applied ML systems or evaluation infrastructure. Hands-on experience with Large Language Models (LLMs) and Generative AI in professional or research environments. Strong understanding of frontier model evaluation methodologies and the current research landscape. Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow). Solid engineering and statistical analysis foundation, with experience developing data-driven methods for assessing model quality. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Published research in leading ML or AI conferences such as NeurIPS, ICML, ICLR, or KDD. Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems for complex models. Experience collaborating with operations or external teams to define high-quality human annotator guidelines. Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis. Experience contributing to scalable pipelines that automate the evaluation and monitoring of large-scale models and agents. Familiarity with distributed computing frameworks and modern cloud infrastructure. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$179,400-$224,250 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

The company built on breakthroughs. Join us. Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible. How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward. At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more. Come break through with us. Corning's businesses are ever evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, and automotive markets. We are changing the world with: * Trusted products that accelerate drug discovery, development, and delivery to save lives * Damage-resistant cover glass to enhance the devices that keep us connected * Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light * Precision glass for advanced displays to deliver richer experiences * Auto glass and ceramics to drive cleaner, safer, and smarter transportation Scope of Position: We are seeking a highly motivated and skilled Research Technician to join our innovative Organic Materials research team at Corning. This is an exciting opportunity for a talented scientist with a strong foundation in Chemistry and/or Polymer Science to contribute to the development of advanced materials and processes for inks, adhesives, and coatings. As part of Corning's core research organization, you will develop cutting-edge solutions that support our business units in Automotive, Optical Communication, Life Sciences, Advanced Optics, and Emerging Innovations. We are committed to pushing the boundaries of science and technology to solve the world's toughest materials challenges. Joining our team means you will have access to state-of-the-art facilities, a collaborative and innovative environment, and opportunities to make an impact across diverse industries. Key Responsibilities: * Work with scientists to plan and carry out required experiments to advance progress against project objectives * Preparation of testing specimens, routine operation of standardized testing, assisting with non-standard experimentation and methods development, maintaining and basic troubleshooting of equipment * Develop and update operation and experiment SOP and related documents * Perform equipment maintenance and upkeep as needed * Assist in the organization and management of lab inventory, prioritize experiments * Perform coating process and experiments, monitor experiment and process and give feedback as needed * Involvement with experimental design, communicate monitored process observation, perform related measurement and collect measurement data Experiences/Education - Required: * Bachelor degree in Chemistry, Polymer Science, Adhesion Science, or a related field. * Familiar with basic laboratory equipment and instrumentation, such as UV/Vis, IR, Instron, etc. * Basic knowledge of organic/polymer chemistry * Ability to work safely with organic chemicals * Self-starter - independent * Hands-on technical aptitude * Highly organized and good attention to detail, rigorous execution, and data accuracy * Good at multi-tasking - working on several deliverables at the same time Experiences/Education - Desired: * Direct industrial experience working with coatings, inks, and/or adhesives * Proficient with JMP and/or Minitab This position does not support immigration sponsorship. The range for this position is $71,099.00 - $97,762.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. A job that shapes a life. Corning offers you the total package. Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one. * Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win. * As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning's total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service. * Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family. * Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions. We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at accommodations@corning.com. Nearest Major Market: Corning

The Frontier Research team within Prescient Design seeks exceptional graduate student interns with a demonstrated research background in machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement research ideas. This on-site/in-person internship position is located in New York, NY. The Opportunity Participate in cutting-edge research in representation learning and generative modeling, and applications to molecular sciences and drug discovery. Develop well-documented code to facilitate adoption of the methods. Contribute to and drive publications, present results at internal and external scientific conferences, and make code and workflows open source. Program Highlights Intensive 12-week, full-time (40 hours per week) paid internship. Program start dates are in May or June 2026. A stipend, based on location, will be provided to help alleviate costs associated with the internship. Who You Are Required Education Must be pursuing a PhD (enrolled student). Required Majors Computer Science, Engineering, Applied Mathematics, Computational Biology, Physics or related technical field. Required Skills: Excellent and proactive communication, collaboration, and interpersonal skills. Strong background and research experience in machine learning, as demonstrated by publications in conferences such as NeurIPS, ICLR, ICML, CVPR, ICCV/ECCV, ACL, EMNLP etc. Strong programming skills in Python and at least one deep learning framework (preferably Pytorch). Preferred Knowledge, Skills, and Qualifications Detailed hands-on experience on building and training state-of-the-art neural networks architectures. Experience with machine learning for sciences (biology/chemistry/health/drug discovery) is desired, but not necessary. Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location of New York is $50.00 per hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits. Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page.Job Posting Title:Research Specialist 1 or 2 (Electronics Development Group) Position Type:Professional / UnclassifiedDepartment:LSUAM Science - PA - Electronics (Jeffery C Blackmon Jr. (00011859) (Inherited)) Work Location:0133 J.W. Nicholson HallPay Grade:Professional: The Electronics Development Group in the Department of Physics & Astronomy is seeking an electronics technician (research specialist 1 or 2). The Electronics Development Group provides comprehensive technical support for the teaching and research missions of the Department of Physics and Astronomy including the design and fabrication of specialized electronic circuits, instruments and systems, maintenance of custom built and commercial instruments, and general technical support to faculty, staff and students. Research Specialist 1 Responsibilities: Troubleshoot, repair, calibrate and maintain a wide variety of scientific instruments used in the teaching and research missions of the Department of Physics and Astronomy and other departments. Provide custom modifications to instruments and equipment for specialized purposes including interfacing scientific instruments to computer systems. Fabricate custom electronic instrumentation under the overall direction of the Electronic Development Group manager or faculty supervisor. Fabrication may be at the circuit, board, or system level and may involve analog, digital and power systems. Layout of printed circuit boards using CAD techniques. Produce engineering drawings and technical documentation. Test and evaluate prototype and final instrumentation, report results and make decisions or suggestions for product improvement. Provide technical assistance, instruction and consultation to faculty, students and staff members for resolution of technical problems. Determine and order parts and supplies necessary for completion of assigned projects. Perform other related duties incidental to the work described above. Research Specialist 2 Responsibilities: Assist with project planning. Provide cost estimates and design reviews. Create and implement plans for prototypes. Evaluate test results and make decisions for product development. Serve as project or systems engineer as required. Determine and order parts and supplies necessary for completion of assigned projects. Design, implementation and repair of electronic circuits, instruments and systems for experimental research. Systems may include analog and digital electronics, hardware/software co-design, embedded processors, field programmable gate arrays (FPGA), complex programmable logic devices (CPLD), data acquisition systems, and electronic monitoring/control systems. Troubleshoot, repair, calibrate and maintain a wide variety of scientific instruments used in the teaching and research missions of the Department of Physics and Astronomy and other departments. Provide custom modifications to instruments and equipment for specialized purposes including interfacing scientific instruments to computer systems. Recommend, write specifications for and coordinate procurement of electronic and computer components, instruments and systems. Participate in hiring, counseling, and training of student employees. Additional duties assigned by supervisor and/or department chair. Minimum Qualifications: (Research specialist 1) Bachelor's degree in engineering, science or closely related field with one year of related experience. (Research specialist 2) Bachelor's degree in engineering, science or closely related field with three years of related experience. LSU values skills, experience, and expertise. Candidates who have relevant experience in key job responsibilities are encouraged to apply -- a degree is not required as long as the candidate meets the required years of experience specified in the . Due to the nature of the position and/or position responsibilities this position shall be subject to drug/alcohol testing in accordance with University Policy Statement 67. Additional Job Description:Special Instructions:Please attach ALL required documents under the "Resume/CV" section of your application. Please provide letter of application, resume, and three professional references including name, title, phone number and e-mail address. Transcripts may be submitted; however, original transcripts will be required prior hire. If the degree is not from the United States, a credential evaluation is required in addition to the official transcripts. For questions or concerns regarding the status of your application or salary ranges, please contact Thomas Kutter at ************ or Kutter@lsu.edu.Posting Date:January 13, 2026Closing Date (Open Until Filled if No Date Specified):May 13, 2026Additional Position Information: Background Check - An offer of employment is contingent on a satisfactory pre-employment background check. Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more! Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, next Source Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement. Essential Position (Y/N):NLSU is an Equal Opportunity Employer. All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university's ability to employ individuals in certain positions. HCM Contact Information: For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at ************ or email **********. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.

Job DescriptionAlfred University seeks qualified applicants to work in the area of ultra high temperature ceramic synthesis, processing and characterization. The project spans 5 individual project areas, with postdoctoral research associates needed with the following skillset: Additive manufacturing of carbide ceramics with Al/ML optimization (1 or 2 openings) Candidates with experience in materials science, mechanical engineering and related fields will perform additive manufacturing of ceramics and composites with feedback control. The successful candidate(s) will extend our well-established direct-write (robocasting) extrusion-based 3D printing methods to: include active machine learning/image processing feedback controls, improve on synthesis and processing of colloidal materials explore new 3D printing methods for different materials (ceramics, composites) perform characterization and properties measurements of the printed parts, in a continuous improvement feedback loop to engineer specific shapes with application-specific property optimization. Experience in AM system design, electronic control, and programing are valuable, as is experience in AM for ceramics. The PDRAs will work closely with faculty, other postdocs, laboratory technicians, graduate students and scientists from outside laboratories. Alfred University actively subscribes to a policy of equal employment opportunity, and will not discriminate against any employee, student or applicant because of race, age, sex, color, sexual orientation, gender identification or expression, physical or mental disability, religion, ancestry or national origin, marital status, genetic information, military or veteran status, domestic violence victim status, criminal conviction status, political affiliation or any other characteristic protected by applicable law. Powered by JazzHR EQKkkOgGpj

Cornell University is an innovative Ivy League university where an inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose and contribute creative ideas to further the university's mission of teaching, discovery, and engagement. With our main campus located in Ithaca, New York, Cornell's global presence includes the medical college's campuses on the Upper East Side of Manhattan and Doha, Qatar, as well as the Cornell Tech campus located on Roosevelt Island in the heart of New York City. We offer a rich array of services, programs, and benefits to help employees advance in their career and enhance the quality of personal life, including employee wellness, workshops, childcare and adoption assistance, parental leave, and flexible work options. Our Mission Cornell Human Ecology explores the complexity of human life. We bring together a range of perspectives to understand the full context of the human experience and improve lives at every scale, from cells to society. Our research and academic programs focus on the interaction of humans with their biological, economic, social, and physical environments. Using Cornell's far-reaching extension network and the college's translational research methods, we deliver our findings directly to communities and families, ensuring that our work reaches those who need it most. We prioritize innovative collaboration and are fueled by a powerful, interdisciplinary, and applied approach to improving lives. The Opportunity The Johnson Lab in the Division of Nutritional Sciences is seeking a full-time research technician to manage general lab activities, assist with large scale efforts in bacterial genetics and biochemistry, assist with mouse husbandry, organize human subjects research, and independently execute molecular biology-based techniques. The Johnson lab studies metabolite-dependent diet-microbiome-host interactions using techniques in genomics, metabolomics, molecular biology, and microbial genetics. The lab has a focus on understanding the importance of metabolite exchange in the establishment of the infant microbiome. Under general supervision, responsibilities will include: Laboratory duties: assist and lead large amounts of bacterial culturing; execute biochemical assays; assist with germ-free mouse work; perform tissue collection; prepare microbiome samples for genomic and metabolomic analysis; upkeep of lab reagent stocks; and safety management tasks. Administrative duties: procurement of lab supplies; general lab organization; and the upkeep of freezers and freezer organization. This position presents an exciting opportunity for a motivated and adaptable individual to contribute meaningfully to microbiome research while deepening their scientific expertise. As the successful candidate, your work will directly impact studies in bacterial genetics, biochemistry, and molecular biology, while also helping maintain a well-organized and efficient lab environment. In return, you will benefit from continuous learning, intellectual engagement, and hands-on experience with a wide array of cutting-edge techniques in genomics, metabolomics, and microbial research - all within a collaborative and inclusive scientific community. This is a one-year, benefits eligible, term position with the possibility of renewal. This is a fully onsite position that is based in Ithaca, NY. Typical work hours are 8:00AM-4:30PM Monday through Friday. Required Qualifications Associate's degree and up to 2 years related laboratory experience or equivalent combination of education and experience. Experience with bacterial culturing techniques and genetics analysis. Experience working in a lab specializing in either molecular biology, biochemistry, or genomics research. Knowledge of lab safety requirements. Must feel comfortable performing tasks involving laboratory mice. Demonstrated ability to work independently and collaboratively in a team environment. Skilled in managing multiple projects simultaneously. Ability to cultivate and develop inclusive and equitable working relationships with students, faculty, staff, and community members. Preferred Qualifications: Bachelor's degree in biology, biochemistry, or any related field. Experience with creating sequencing libraries for the Illumina sequencing platform. A cover letter and resume are required for further consideration for this position. No visa sponsorship or relocation assistance are provided for this position. Benefits Cornell receives national recognition as an award-winning workplace for our health, wellbeing, sustainability, and inclusive workplace initiatives. Our benefits programs include comprehensive health care options, generous retirement contributions, access to wellness programs, and employee discounts with local and national retail brands. We invite you to follow this link to get more information about our benefits: Understand Your Benefits | Working at Cornell. Our leave provisions include health and personal leave, three weeks of vacation and 13 holidays: Martin Luther King, Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving and the day after, and an end of the year winter break from December 25-January 1. To offer greater flexibility for observing faiths and traditions we also offer two additional floating holidays. Learn more about our generous leave provisions: Holiday and Accrued Time Off | Working at Cornell Cornell's impressive educational benefits include tuition-free Extramural Study and Employee Degree Program, tuition aid for external education, and Cornell Children's Tuition Assistance Program. Learn more about our extensive educational benefits: Education Benefits | Working at Cornell Follow this link to learn more about the Total Rewards of Working at Cornell: Total Rewards | Working at Cornell. Cornell is an equal opportunity employer. For more information, click the following link: *************************** University Job Title: Technician III Job Family: Technical Level: C Pay Rate Type: Hourly Pay Range: $24.31 - $26.87 Remote Option Availability: Onsite Company: Contract College Contact Name: Krassimira Hernandez Contact Email: ***************** Job Titles and Pay Ranges: Non-Union Positions Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria: Prior relevant work or industry experience Education level to the extent education is relevant to the position Unique applicable skills Academic Discipline To learn more about Cornell's non-union staff job titles and pay ranges, see Career Navigator. Union Positions The hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement. To learn more about Cornell's union wages, see Union Pay Rates. Current Employees: If you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell. Online Submission Guidelines: Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by “dragging and dropping” them into the dropbox or by using the “upload” icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website. Employment Assistance: For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email ********************. If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice **************, or email at accommodations@cornell.edu. Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing ********************. Notice to Applicants: Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “... any person ... any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law. 2025-11-04

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About Our Internship Program Nasdaq's Internship Program is a 10-week summer experience designed to give students real exposure to how global markets and technology come together. Our interns work on meaningful projects alongside Nasdaq teams, gaining hands-on skills that make an impact on the business. We believe the best way to learn is by doing - that's why you'll be paired with a mentor, connected with senior leaders, and included in professional development sessions. You'll also join a diverse global intern community, sharing experiences and building networks that last beyond the program. Our goal is to provide a supportive, engaging, and fun environment where your work feels valued and your growth comes first. Check out our Nasdaq Internship Program page to learn more and hear directly from past interns about their journeys. Enterprise Marketing & Communications Intern The Enterprise Marketing and Communications (MarComms) team is responsible for Nasdaq's brand, reputation, marketing strategies, media relations, employee communications, and thought leadership efforts. The team is comprised of: Corporate Communications Enterprise Marketing Digital Marketing Purpose Team Interns will be centrally managed within the MarComms Strategy & Operations function, and rotate throughout the verticals above, supporting daily tasks, special projects, and cross-functional initiatives over the course of the summer. At Nasdaq, you'll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you'll support the Enterprise MarComms team and gain hands-on experience with brand strategy and design, internal & external communications, corporate social responsibility and philanthropy, web properties and digital user experience, and overall marketing strategy and operations. You don't need to know everything on day one - we'll help you build the skills, confidence, and network to grow your career. What You'll Do Rotate between two designated teams to support the teams with day-to-day tasks and contribute to ongoing initiatives. Collaborate with teammates across different functions and regions. Bring your ideas and curiosity to problem-solving and project work. Develop your technical and professional skills through training and mentorship. What You'll Bring Currently pursuing a degree in marketing, communications, public relations, social impact, or business and on track to graduate in December 2026 or Spring 2027. Eagerness to learn, adapt, ask questions, and take on new challenges. Ability to work well with others and contribute to a team environment. Good communication and organizational skills. Curiosity about technology, finance, and global markets. Proficiency in Microsoft Office Suite Nice-to-Have Internship or project experience related to marketing, creative & design, communications, project management, corporate social responsibility, events & partnerships, media, or digital marketing. Involvement in student organizations, volunteering, or leadership roles. This position will be located in New York and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates. Come as You Are Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. What We Offer We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success. The base pay range for this role is $21 - $37. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands. Nasdaq's programs and rewards are intended to allow our employees to: Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities For more information, visit Nasdaq Benefits & Rewards Career page.

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AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: Build synthetic data pipelines to generate enterprise environments to use for RL post-training Create agents to convert traces from production into actionable insights to use to improve agents Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers. Ideally you'd have: 3+ years of building with LLMs in a production environment Clear experiences with constructing high quality data to use to improve an LLM/Agent Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years PhD or Masters in Computer Science or a related field Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000-$315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Job DescriptionAlfred University seeks qualified applicants to work in the area of ultra high temperature ceramic synthesis, processing and characterization. The project spans 5 individual project areas, with postdoctoral research associates needed with the following skillset: New materials discovery aided by Al/ML fields, will engage in high-throughput synthesis and properties studies guided by machine learning. The position will center on data-driven discovery and characterization of high entropy ultra-high temperature ceramics. The successful candidate will be expected to work to extend our expertise in high-throughput experiments to generate high-quality and reliable data for machine learning modeling. Un/supervised machine learning and deep learning will be used to train the algorithms and predict the resulting structures and properties. Selected compositions will be selected for further materials fabrication and characterization. The PORA will work closely with faculty, other postdocs, laboratory technicians, graduate students and scientists from outside laboratories. Alfred University actively subscribes to a policy of equal employment opportunity, and will not discriminate against any employee, student or applicant because of race, age, sex, color, sexual orientation, gender identification or expression, physical or mental disability, religion, ancestry or national origin, marital status, genetic information, military or veteran status, domestic violence victim status, criminal conviction status, political affiliation or any other characteristic protected by applicable law. Powered by JazzHR Tp4UbCgzUL