Postdoctoral scholar jobs in Portsmouth, VA

Investigate the detailed mechanisms underlying microglial activation in HAND and drug addiction Responsibilities The postdoctoral fellow positions will manage NIH-funded studies that are exploring the role of neuroimmune signaling in HAND and in the development of drug addiction. The candidates should be able to work with rodent models. All these projects are supported by high collaborative, multidisciplinary teams of scientists and extensive core services in the Center for Integrative Neuroscience and Inflammatory Diseases at EVMS. Performs other duties as assigned. Qualifications Ph.D. or M.D. Location : Location US-VA-Norfolk

Preferred Qualifications Experience with STATA , R, Python, TransCAD, GISDK , STOPS , GitHub, and Asana Coursework and a graduate thesis involving innovative systems analysis techniques Graduate coursework in statistical analysis Work Schedule Monday-Friday, 8:00 am - 5:00 pm; Hybrid schedule eligible

Title: GP007 POSTDOCTORAL RESEARCHER IN ULTRAFAST SPECTORSCOPY OF QUANTUM MATERIALS (TEMPORARY) State Role Title: FACULTY Hiring Range: Commensurate with qualifications and experience Pay Band: UG Location: Norfolk State University Agency Website: Faxed material not accepted Recruitment Type: General Public - G Job Duties The Quantum Electronics Group (QEG) in the Department of Physics at Norfolk State University is seeking a postdoctoral associate with expertise in nonlinear and ultrafast optics, high power diode-pumped lasers, and laser spectroscopy of materials at cryogenic temperatures. The successful candidate will conduct research on magneto-optics, low temperature and high magnetic field microscopy, and ultrafast two-color, pump-probe experiments on strongly correlated electron systems, topological insulators, 2D materials, thin films, nonlinear optical crystals and quantum devices incorporating some of these materials. The laser facilities include: a 5W Solstice regenerative amplifier, two Topas Prime/NIRUV OPA's, Mai Tai fs laser, a Quantum Design OptiCool cryostat 4k-300K range with a magnetic field up to 7 T, and related optics and electronics. The materials and devices studied will be fabricated in the NSU Crystal Physics and Quantum Electronics Laboratory and in the NSU-Micron Class100/1000 Cleanroom, both located in the McDemmond Center for Applied Research on the NSU campus. Some of the facilities include, single crystal floating zone growth, Bridgman crystal growth stations, a 14T, 50 mK Quantum Dynamics PPMS, a low temperature XRD, a Laue backscattering, and state-of-the-art cleanroom fabrication systems. The appointment is for 2 years if hired by September 2025. Minimum Qualifications The candidate must have a PhD degree in physics, optical engineering, or similar discipline related to research. The applicant must also show an interest and ability to communicate and mentor a diverse student body of undergraduate and graduate students, work in close collaboration with members of the Quantum Electronics Group and have the initiative and capability to work independently. EEO Statement Norfolk State University is committed to providing equal employment opportunities for all persons and applicants, without regard to age, color, disability, gender, national origin, political affiliation, genetic information, religion, sexual orientation, sex (including pregnancy) or veteran status. NSU encourages and invites minorities, women, individuals with disabilities and veterans to apply. Additional Considerations As delineated above. Special Instructions You will be provided a confirmation of receipt when your application and/or résumé is submitted successfully. Please refer to “Your Application” in your account to check the status of your application for this position. Applicants should apply online at ************************* Required documentation includes a letter of interest outlining your qualifications and related experience, a cover letter, a curriculum vita, and three letters of reference. Questions about this position may be directed to Dr. Doyle Temple, Chair, Department of Physics, 700 Park Avenue, Norfolk, VA 23504, **************, ****************. Application and/or résumé for this position must be submitted electronically by 11:59 p.m. on the closing date through the Commonwealth of Virginia's Job Board/Recruitment Management System (RMS). Mailed, emailed, faxed, or hand delivered applications and/or résumés will not be accepted. Applicants who possess an Interagency Placement Screening Form (Yellow Form) or a Preferential Hiring Form (Blue Form) as issued under the Department of Human Resources Management (DHRM) Policy 1.30 Layoff (Commonwealth of Virginia Employees Only), must attach these forms when submitting their state application and/or résumé. The decision to interview an applicant is based solely on the information received for this position from either the electronic application and/or resumé. RMS provides a confirmation of receipt when your application and/or résumé is submitted successfully. Please refer to “Your Application” in your RMS account to check the status of your application for this position. Norfolk State University conducts background checks on all candidates identified as a finalist for employment consideration. The type of background check(s) performed are dependent upon the type of position for which you have been identified as a finalist and may include: criminal history, including sexual offender registry checks, reference checks, degree validation, DMV (driving) records, license verification, and credit report reviews. The results of background checks are made available to university employing officials. As a finalist, you will be required to sign an Authorization to Release form. Norfolk State University utilizes Form I-9 and E-verify in the verification of eligibility for employment. Applicants must be authorized to work in the U.S. without employer sponsorship. Contact Information Name: Norfolk State University Phone: ************ Email: Emailed material not accepted In support of the Commonwealth's commitment to inclusion, we are encouraging individuals with disabilities to apply through the Commonwealth Alternative Hiring Process. To be considered for this opportunity, applicants will need to provide their AHP Letter (formerly COD) provided by the Department for Aging & Rehabilitative Services (DARS), or the Department for the Blind & Vision Impaired (DBVI). Service-Connected Veterans are encouraged to answer Veteran status questions and submit their disability documentation, if applicable, to DARS/DBVI to get their AHP Letter. Requesting an AHP Letter can be found at AHP Letter or by calling DARS at ************. Note: Applicants who received a Certificate of Disability from DARS or DBVI dated between April 1, 2022- February 29, 2024, can still use that COD as applicable documentation for the Alternative Hiring Process.

Title: GP007 POSTDOCTORAL RESEARCHER IN ULTRAFAST SPECTORSCOPY OF QUANTUM MATERIALS (TEMPORARY) State Role Title: FACULTY Hiring Range: Commensurate with qualifications and experience Pay Band: UG Agency Website: Faxed material not accepted Recruitment Type: General Public - G Job Duties The Quantum Electronics Group (QEG) in the Department of Physics at Norfolk State University is seeking a postdoctoral associate with expertise in nonlinear and ultrafast optics, high power diode-pumped lasers, and laser spectroscopy of materials at cryogenic temperatures. The successful candidate will conduct research on magneto-optics, low temperature and high magnetic field microscopy, and ultrafast two-color, pump-probe experiments on strongly correlated electron systems, topological insulators, 2D materials, thin films, nonlinear optical crystals and quantum devices incorporating some of these materials. The laser facilities include: a 5W Solstice regenerative amplifier, two Topas Prime/NIRUV OPA's, Mai Tai fs laser, a Quantum Design OptiCool cryostat 4k-300K range with a magnetic field up to 7 T, and related optics and electronics. The materials and devices studied will be fabricated in the NSU Crystal Physics and Quantum Electronics Laboratory and in the NSU-Micron Class100/1000 Cleanroom, both located in the McDemmond Center for Applied Research on the NSU campus. Some of the facilities include, single crystal floating zone growth, Bridgman crystal growth stations, a 14T, 50 mK Quantum Dynamics PPMS, a low temperature XRD, a Laue backscattering, and state-of-the-art cleanroom fabrication systems. The appointment is for 2 years if hired by September 2025. Minimum Qualifications The candidate must have a PhD degree in physics, optical engineering, or similar discipline related to research. The applicant must also show an interest and ability to communicate and mentor a diverse student body of undergraduate and graduate students, work in close collaboration with members of the Quantum Electronics Group and have the initiative and capability to work independently. EEO Statement Norfolk State University is committed to providing equal employment opportunities for all persons and applicants, without regard to age, color, disability, gender, national origin, political affiliation, genetic information, religion, sexual orientation, sex (including pregnancy) or veteran status. NSU encourages and invites minorities, women, individuals with disabilities and veterans to apply. Additional Considerations As delineated above. Special Instructions You will be provided a confirmation of receipt when your application and/or résumé is submitted successfully. Please refer to "Your Application" in your account to check the status of your application for this position. Applicants should apply online at ************************* Required documentation includes a letter of interest outlining your qualifications and related experience, a cover letter, a curriculum vita, and three letters of reference. Questions about this position may be directed to Dr. Doyle Temple, Chair, Department of Physics, 700 Park Avenue, Norfolk, VA 23504, **************, ****************. Application and/or résumé for this position must be submitted electronically by 11:59 p.m. on the closing date through the Commonwealth of Virginia's Job Board/Recruitment Management System (RMS). Mailed, emailed, faxed, or hand delivered applications and/or résumés will not be accepted. Applicants who possess an Interagency Placement Screening Form (Yellow Form) or a Preferential Hiring Form (Blue Form) as issued under the Department of Human Resources Management (DHRM) Policy 1.30 Layoff (Commonwealth of Virginia Employees Only), must attach these forms when submitting their state application and/or résumé. The decision to interview an applicant is based solely on the information received for this position from either the electronic application and/or resumé. RMS provides a confirmation of receipt when your application and/or résumé is submitted successfully. Please refer to "Your Application" in your RMS account to check the status of your application for this position. Norfolk State University conducts background checks on all candidates identified as a finalist for employment consideration. The type of background check(s) performed are dependent upon the type of position for which you have been identified as a finalist and may include: criminal history, including sexual offender registry checks, reference checks, degree validation, DMV (driving) records, license verification, and credit report reviews. The results of background checks are made available to university employing officials. As a finalist, you will be required to sign an Authorization to Release form. Norfolk State University utilizes Form I-9 and E-verify in the verification of eligibility for employment. Applicants must be authorized to work in the U.S. without employer sponsorship. Contact Information Name: Norfolk State University Phone: ************ Email: Emailed material not accepted In support of the Commonwealth's commitment to inclusion, we are encouraging individuals with disabilities to apply through the Commonwealth Alternative Hiring Process. To be considered for this opportunity, applicants will need to provide their AHP Letter (formerly COD) provided by the Department for Aging & Rehabilitative Services (DARS), or the Department for the Blind & Vision Impaired (DBVI). Service-Connected Veterans are encouraged to answer Veteran status questions and submit their disability documentation, if applicable, to DARS/DBVI to get their AHP Letter. Requesting an AHP Letter can be found at AHP Letter or by calling DARS at ************. Note: Applicants who received a Certificate of Disability from DARS or DBVI dated between April 1, 2022- February 29, 2024, can still use that COD as applicable documentation for the Alternative Hiring Process.

The Criscione Lab is seeking an ambitious applicant who is eager to learn and is passionate about applying the scientific method in horticultural studies. This position will support a research and extension program in nursery production at the Hampton Roads Agricultural Research and Extension Center in Virginia Beach, VA. This will be a 36-month, benefits-eligible position. Continuation beyond the 36-month appointment will be based on performance and availability of funds. The prospective candidate will oversee and manage research experiments in the field (nursery and greenhouse production), as well as assist with laboratory-based experiments. The candidate will assist in data archiving and collection, including measuring (1) different aspects of plant growth such as how shoots and roots develop, the shape and structure of the root system, and how the plant functions overall, (2) soilless substrate physical and chemical properties, (3) water analysis, and (4) possible entomology metrics. This position is tailored for applicants with a passion and interest in horticulture, soils, or environmental science, providing the opportunity to strengthen their experience in both research and field work, particularly if graduate school is of interest. This position presents a unique opportunity for an entry level to limited-experience applicant to gain significant research and writing experience, including potential article co-authorship in peer-refereed journals. Required Qualifications Bachelor's degree in Horticulture, Soil Science, Plant Science, Biology, Environmental Science, or other related fields and/or equivalent years of training and experience. Strong organizational and communication skills and can contribute to a positive work environment. The candidate must be proficient in Microsoft Excel, Word, and PowerPoint. The selected candidate must have the ability to manage several assignments concurrently (i.e., multi-manage). Preferred Qualifications Experience in nursery production, maintenance of ornamental plants, data analysis. Pay Band 3 Appointment Type Restricted Salary Information Commensurate with experience. Review Date January 17, 2025 Additional Information To complete the application process, please include a resume, CV and references. The successful candidate will be required to have a criminal conviction check and a drivers background check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Kris Criscione at ****************** during regular business hours at least 10 business days prior to the event.

City of Virginia Beach - Virginia Aquarium Stranding Response and Research Technician I The Virginia Aquarium & Marine Science Center is hiring a Stranding Response and Research Technician I (Exhibits Tech I). Stranding Response Program staff members are often assigned a primary area of responsibility based on candidate experience and skill level, as well as programmatic needs, at the time of hire. Regardless of primary assignment, all members of the Stranding Response Program need to have / develop foundational skills and working knowledge in all areas for rotational coverage and seasonal fluctuations in stranding activities. These areas include: conduct and/or coordinate response to live and dead marine mammals and sea turtles; medical treatment and rehabilitation of sea turtles; live animal care, husbandry and water quality/life support system maintenance; assistance and/or coordination of database entry and quality control of stranding case and sample information; assist or conduct necropsies on sea turtles and marine mammals; daytime and shared overnight hotline coverage and outreach activities; assist with selection, training, and leading part-time staff, volunteers and interns. Deliver presentations for staff and volunteers and/or represent Virginia Aquarium Stranding Response Program at conferences, symposiums, or other events as requested. Duties include: * Serve as rotating Response Lead during and after hours to answer and field calls from the public regarding stranded animals. Must be able to, along with guidance from senior staff, determine if calls warrant a response, prioritize and organize resources, and coordinate the initial stranding response activities required. Response planning includes the assessment and logistics for both live and dead stranded animal response and recovery for the whole state of Virginia. * Complete proper documentation and data collection for each stranding, including case follow through and record completion. Collect and enter level A, B, and C stranding data for marine mammals and STSSN data for sea turtles. Collect and enter daily feed and treatment records for animals undergoing rehabilitation. Utilize Microsoft Access and ZIMS for data entry and follow quality control protocols. * Participate in live animal stranding events, including field assessments, animal pick up and transport, rehab patient admits and initial health assessment procedures, and/or assist in euthanasia. * Serve as rotating Rehab Lead: Provide for the needs of all animals undergoing rehabilitation at the marine animal conservation center -conduct the prescribed medical treatments, diagnostic sampling, and testing schedule; prepare and assist in surgical procedures, regular patient monitoring and critical animal assessment; complete daily patient and treatment records; interact with and delegate tasks to rotating volunteers in regards to feeding and husbandry activities; oversee the water quality and life support maintenance of the rehab tanks. * Conduct cursory post-mortem examination (necropsy) of deceased animals and assist senior staff with detailed necropsy and sampling for the purpose of data collection, cause of death determination, and research, including writing and reviewing necropsy report drafts. * Assist with the maintenance/servicing of assigned equipment (e.g. response vehicles, necropsy and response equipment, medical and * Assist with the development and updating of protocols and train interns, fellows, and volunteers in stranding response and equipment use. * Attend and represent the Virginia Aquarium Stranding Response Program at regional and national stranding meetings as requested. * Assist with content to be used in grants, permits, reports, and media when directed. * Perform other job duties requiring skills, knowledge and physical requirements as demanded by duties described. Individual assignments will be determined by the supervisor based on current workloads and department needs. Work Schedule: 40 hours/week. Seasonally may change from five 8-hour days (8am-4:30pm), to four 10-hour days (7am-5:30pm), with variable start/stop times based on operational needs. Manage overnight hotline an average of 1-2 nights per week. Experience Required Requires any combination of education (above the high school level) and/or experience equivalent to two (2) years in fields utilizing the required knowledge, skills, and abilities and associated with positions such as wildlife biologist, zoologist, stranding technician, or necropsy technician in a similar facility or program, (e.g. stranding organization, field conservation station, anatomy or necropsy/pathology laboratory, etc.). Individual positions will have specific requirements regarding subject expertise, skills and training; these will be noted on job requisition at time opening is advertised. Must have, or obtain, a current and valid Virginia or North Carolina drivers license in accordance with Virginia or North Carolina DMV drivers license eligibility requirements. SPECIAL REQUIREMENTS: Must be able to work rotating shifts (days/evenings/midnights) including weekends and holidays and be available to work overtime when required to meet operational needs. This position may require that incumbents wear and maintain appropriate personal protective equipment such as, but not limited to, close toed shoes, hard hats, safety glasses, gloves, respirators or other safety attire and equipment in designated areas of risk. Specific requirements will be determined and communicated by the employees supervisor based on assigned duties. Upon hire, the selected candidate will be required to receive rabies pre-exposure vaccination provided by the City of Virginia Beach Occupational Health Services. Further Comments Preferences: - Bachelor's degree or higher in biological sciences, veterinary science, zoology, conservation biology, or other related field. - One (1) or more years of full-time equivalent experience in a marine mammal and/or sea turtle stranding organization to include experience conducting and/or coordinating field responses and recovery of live or dead stranded animals: with an emphasis on logistics planning, assessing resources, and coordinating personnel and volunteers. - One (1) or more years of full-time experience with rehabilitation of sea turtles and/or marine mammals: including critical patient monitoring, medical treatments, feeding, assisting with advanced procedures, and medical records and data completion. - Experience with monitoring water quality parameters and life support system maintenance. - Knowledge of marine mammal and sea turtle anatomy, and experience with dissection, and/or necropsy techniques. - Working knowledge and experience with research and investigative processes, including project design, data analysis, and project reports. - Experience with providing oversight, training, and coordination of volunteers. - Experience with public speaking and communicating biological concepts and conservation messaging in formal and informal settings. - Experience engaging with and informing members of the public during stranding responses activities. - Comfort and experience working in and around water including operating large vehicles around coastal environments; driving on beaches, on bridges, through tunnels; and trailering or driving boats. - Operating/working knowledge of the Marine Mammal Protection Act (MMPA) and Endangered Species Act(ESA), and the NOAA and USFWS regulations and permitting requirements involved in wildlife and/or marine animal response, conservation, or rehabilitation activities. - Experience recording Level A, B, and C data for stranded animals and medical or husbandry records. Perks visit job posting Salary G.16, $36,753.60 - $56,971.20 | Starting Salary: Minimum of the Pay Range How to Apply Title: Exhibits Technician I (Stranding Response and Research Technician) Company: City of Virginia Beach - Virginia Aquarium Click the link below to see the details of the position and to apply: ************************************************************************************** Deadline to submit applications: Dec. 2, 2025 City of Virginia Beach - Virginia Aquarium 717 General Booth Blvd Virginia Beach, VA 23451

Student Support Services/Jobs for Virginia Graduates (JVG) Date Available: 2025-2026 School Year Closing Date: Until Filled Attachment(s):

The Department of Mathematics, Computer Science, and Engineering Technology in the School of Science, Aviation, Health and Technology at Elizabeth City State University (ECSU) offers undergraduate programs leading to Bachelor of Science degrees in Mathematics, Computer Science and Engineering Technology. The Department also offers an M.S. in Mathematics with concentrations in Mathematics Education, Applied Mathematics, Community College Teaching, and Remote Sensing. The primary purpose of the unit is to provide quality higher education and cutting-edge research experience for our students. Description of Work The primary purpose of the position is performing research activities focused on developing effective pt based catalytic system and understanding science for hydrogen production under the supervision of the PI. Competencies/Knowledge Skills, and Abilities Required in this Position Knowledge of Nanomaterials, Nanocatalysts, Characterization, and Electrochemistry. The candidate must have a strong publication record in the field. Strong experience in electrochemistry, electro-catalysts, electrochemical product analysis (gas chromatography, nuclear magnetic resonance spectroscopy), in-situ Raman spectroscopy, Differential electrochemical mass spectroscopy (DEMS) and Materials multi-scale characterization, The position requires strong interpersonal skills for effective communication with faculty and students; strong technical and analytical skills; the ability to write technical reports; and effective organizational skills and customer service skills necessary for a research-oriented environment. Minimum Training and Experience PH.D. in Materials Science, Chemical Engineering or related field. 0-5 years of relevant experience in materials and nanomaterial research. License or Certification Required by Statute or Regulation Management Preferences Position Recruitment Range Position Category Staff Position Status Permanent Full Time FLSA Exempt

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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. 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. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. 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 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 Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 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 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR 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) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience with common training optimization frameworks (deep speed, nemo) Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs 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. Sales Territory: $273,000 - $311,500 for Distinguished Applied Researcher Cambridge, MA: $300,200 - $342,600 for Distinguished Applied Researcher McLean, VA: $300,200 - $342,600 for Distinguished Applied Researcher New York, NY: $327,600 - $373,800 for Distinguished Applied Researcher San Francisco, CA: $327,600 - $373,800 for Distinguished Applied Researcher 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 . click apply for full job details

Investigate the detailed mechanisms underlying microglial activation in HAND and drug addiction. One post-doctoral position is available immediately in the department of Anatomy and Pathology, Eastern Virginia Medical School. The candidates will work with a team of scientists exploring the role of microglia in the development of HIV-associated neurological disorders (HAND) and drug addiction. The successful candidate should have the experience on cell culture, WBs, qRT-PCR, immunofluorescence, etc. Animal skills are necessary and surgical experience will be greatly appreciated. The candidate will have principle on neuroscience and be a team-worker. The candidate should able to interact with other scientists presently working in the lab, including other post docs and research techs. All NIH policy and regulation apply to this position. Responsibilities The postdoctoral fellow positions will manage NIH-funded studies that are exploring the role of neuroimmune signaling in HAND and in the development of drug addiction. The candidates should be able to work with rodent models. All these projects are supported by high collaborative, multidisciplinary teams of scientists and extensive core services in the Center for Integrative Neuroscience and Inflammatory Diseases at EVMS. Performs other duties as assigned. Qualifications Ph.D. or M.D. Location : Location US-VA-Norfolk

Preferred Years Experience, Skills, Training, Education Candidates with excellent communication skills and ability to work in collaborative projects are strongly encouraged to apply. Work Schedule Monday-Friday, 8am-5pm (as needed to complete experiments)

Title: GA379 - POST-DOCTORAL FELLOW WITH THE CENTER FOR MATERIALS RESEARCH State Role Title: FACULTY Hiring Range: UP TO $60,000.00 Pay Band: UG Agency Website: *********** Recruitment Type: General Public - G Job Duties Norfolk State University (NSU), through exemplary teaching, scholarship and outreach, transforms lives and communities by empowering individuals to maximize their potential, creating life-long learners equipped to be engaged leaders and productive global citizens. NSU's Center for Materials Research invites applicants for a grant-funded Postdoc / Lab Manager position. The responsibilities combine those of a Postdoc and Lab Manager: Scientific research in the areas of (nano)photonics and (nano)photonics materials. Training students to conduct research and assisting them with their research projects. Equipment and lab maintenance, small-scale equipment repair, software installation, and communication with service engineers. Purchase of equipment and supplies and communicating with vendors. Writing technical reports and peer reviewed publications. Overseeing the lab safety. EEO Statement NSU is committed to providing equal employment opportunities for all persons and applicants, without regard to age, color, disability, gender, national origin, political affiliation, genetic information, race, religion, sexual orientation, sex (including pregnancy) or veteran status. NSU encourages and invites minorities, women, individuals with disabilities and veterans to apply. Minimum Qualifications Candidate must possess a Ph.D. in Physics, Chemistry, Optical Engineering, Electrical Engineering or relevant discipline. Candidate should have knowledge and experience in research areas of (nano)photonics and (nano)photonic materials. The applicant's competency in research should be evidenced by peer-reviewed scientific publications and conference presentations. Additional Considerations The applicant should have knowledge in computers, have hands-on technical experience, and equipment maintenance skills. The applicant should have good communication skills and be able to constructively communicate with students, colleagues and third parties. Special Instructions You will be provided a confirmation of receipt when your application and/or résumé is submitted successfully. Please refer to “Your Application” in your account to check the status of your application for this position. 1. Candidates may show interest by submitting, in its entirety online, an application and all required application material. 2. Applicant is solely responsible for ensuring application and material thoroughly reflects their knowledge, skills, and abilities, as it relates to the advertised qualifications. 3. A complete application, including all previous employment, salary history, and education, for full consideration, must be received online by 11:59PM of the “Job Close Date.” 4. Applicants who list “see resume” or “see Curriculum Vitae” in lieu of completing the application may miss the opportunity for full consideration. 5. NSU conducts background checks on all candidates identified as finalist for employment. The type of background check(s) performed is dependent upon the type of position for which you have been identified as a finalist, which may include: criminal history, sex offender registry checks, reference checks, degree validation, driving records, license verification, credit history review. The results of background checks are made available to University employing officials. You will be required to sign an Authorization to release form. Application and/or résumé for this position must be submitted electronically by 11:59 p.m. on the closing date through the Commonwealth of Virginia's Job Board/Recruitment Management System (RMS). Mailed, emailed, faxed, or hand delivered applications and/or résumés will not be accepted. Applicants who possess an Interagency Placement Screening Form (Yellow Form) or a Preferential Hiring Form (Blue Form) as issued under the Department of Human Resources Management (DHRM) Policy 1.30 Layoff (Commonwealth of Virginia Employees Only), must attach these forms when submitting their state application and/or résumé. The decision to interview an applicant is based solely on the information received for this position from either the electronic application and/or resumé. RMS provides a confirmation of receipt when your application and/or résumé is submitted successfully. Please refer to “Your Application” in your RMS account to check the status of your application for this position. Norfolk State University conducts background checks on all candidates identified as a finalist for employment consideration. The type of background check(s) performed are dependent upon the type of position for which you have been identified as a finalist and may include: criminal history, including sexual offender registry checks, reference checks, degree validation, DMV (driving) records, license verification, and credit report reviews. The results of background checks are made available to university employing officials. As a finalist, you will be required to sign an Authorization to Release form. Norfolk State University utilizes Form I-9 and E-verify in the verification of eligibility for employment. Applicants must be authorized to work in the U.S. without employer sponsorship. Contact Information Name: Norfolk State University Phone: ************ Email: Emailed material not accepted In support of the Commonwealth's commitment to inclusion, we are encouraging individuals with disabilities to apply through the Commonwealth Alternative Hiring Process. To be considered for this opportunity, applicants will need to provide their AHP Letter (formerly COD) provided by the Department for Aging & Rehabilitative Services (DARS), or the Department for the Blind & Vision Impaired (DBVI). Service-Connected Veterans are encouraged to answer Veteran status questions and submit their disability documentation, if applicable, to DARS/DBVI to get their AHP Letter. Requesting an AHP Letter can be found at AHP Letter or by calling DARS at ************. Note: Applicants who received a Certificate of Disability from DARS or DBVI dated between April 1, 2022- February 29, 2024, can still use that COD as applicable documentation for the Alternative Hiring Process.

The Department of Mathematics, Computer Science, and Engineering Technology in the School of Science, Aviation, Health and Technology at Elizabeth City State University (ECSU) offers undergraduate programs leading to Bachelor of Science degrees in Mathematics, Computer Science and Engineering Technology. The Department also offers a M.S. in Mathematics with concentrations in Mathematics Education, Applied Mathematics, Community College Teaching, and Remote Sensing. The primary purpose of the unit is to provide quality higher education and cutting-edge research experience to our students. Description of Work The postdoctoral scholar will join a research group broadly working in the field of renewable energy storage system, sensors, and biosensors. The position will oversee all the activities of the project and will closely work with the project PIs to ensure successful completion of the project on time. The postdoctoral scholar will plan, organize, and direct the completion of specific goals, activities, and objectives of the project on time and within the allocated budget. The position will report to the project's Principal Investigators (PIs) on a weekly basis and provide updates on the progress of the project. Along with the PIs, the postdoctoral scholar will supervise any postdocs, graduate and undergraduate students working on the project. The postdoctoral scholar will coordinate the project activities with all the external project partners to ensure smooth and seamless execution of the project. Under the aegis of the project PIs, meeting with project stakeholders will be planned and conducted by the postdoctoral scholar based on a schedule decided by the project PIs. Quarterly or semi-annual progress reports will be prepared and submitted to the funding organization by the postdoctoral scholar on behalf of the project team. The position will also work with the PIs and other project personnel in preparing journal or conference manuscripts. Competencies/Knowledge Skills, and Abilities Required in this Position Strong interpersonal skills for effective communication with faculty and students; ability to write reports; strong technical and analytical skills; and effective organizational skills and customer services skills necessary for a research-oriented environment. Minimum Training and Experience PH.D. in Physics, Materials Science, Mechanical Engineering or related field. 0-5 years of relevant experience in materials and nanomaterial research. License or Certification Required by Statute or Regulation Management Preferences Position Recruitment Range Position Category Staff Position Status Permanent Full Time FLSA Exempt

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 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. Sales Territory: $234,000 - $267,000 for Applied Researcher II 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 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).

The postdoctoral scholar is a research position, focusing on drug discovery, toxicology, pharmacology, and/or medicinal chemistry. The job may entail a training component to work with students and/or learners. Responsibilities Assist with certain training tasks of students, residents, and/or fellow. Conduct research of drug discovery with supervisor's input. Assist with the research grants preparation Assist with research result summary and presentation Maintain detailed and comprehensive research notes and record Take the initiative in problem solving and troubleshooting of experimental difficulties Qualifications Doctoral Degree in a scientific area, preferably medicinal chemistry. Preferred two (2) years of experience in a relevant research field with experience in the design and conduct of synthetic chemistry research. Remains up-to-date on relevant advancement of research topic areas. Location : Location US-VA-Norfolk

Preferred Years Experience, Skills, Training, Education Experience in one or more of these areas: multi-agent interaction, driving simulators, game theory, and human-computer interaction Work Schedule M-F, 8 AM-5PM unless noted otherwise

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 Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users 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: $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 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. . click apply for full job details

Cryo electron microscopy laboratory (PI Dr. Vitold E. Galkin) is seeking motivated postdoc to conduct research on the mechanisms of cardiac muscle contraction. Dr. Galkin has excellent records of publications in the field of structural biology and pioneered single-particle approach to 3D reconstruction of helical filaments while working with Dr. Edward H. Egelman at UVA. PI has access to two state of the art Titan Krios TEMs equipped with Falcon 3c and K3 summit direct detectors, energy filters and phase plates. The nearest facility at UVA is within 2.5h by car. EVMS has TEM on site to conduct preliminary studies on protein complexes. PI has large park of Linux based work stations with 256-512Gb of memory and 36-48 core processors for high speed computing. SPIDER, EMAN2 and RELION software is used for classification and 3D-reconstruction. Position is offered for 3 years and is funded by the NIH R01 grant. Qualifications Ph.D. degree in structural biology or muscle regulation field is required. Applicant is expected to have at least one first author publication in international peer reviewed journal along with at least one record of participation in international meetings related to structural biology or muscle regulation. Fast learning curve is expected along with the ability to independently summarize data, relate results to the published observations and write scientific papers aimed for peer reviewed journals. An ample training will be provided and PI will be available to discuss progress on a daily basis during the first year. Experience in the following arias will be prioritized: Using Linux OS and writing shell scripts Programming in SPIDER and Python Using UCSF Chimera, Phenix and IMODFIT Using any software related to MD simulations Experience in studying muscle structure or muscle regulation Location : Location US-VA-Norfolk

Preferred Years Experience, Skills, Training, Education Experience with data-model integration, including Bayesian or data-assimilation techniques for parameter estimation and uncertainty quantification. Knowledge of methane dynamics across upland-to-wetland gradients and associated microbial processes. Experience working with ecosystem-scale datasets (e.g., eddy covariance fluxes, chamber measurements) and translating them into model applications. Familiarity with microbial community dynamics and their integration into ecosystem models. Work Schedule Monday - Friday, 8am - 5pm (and as research requires)