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Temporary Neural Networks Jobs in Virginia (NOW HIRING)

Temporary Neural Networks information

What is the difference between Temporary Neural Networks vs Data Scientists?

AspectTemporary Neural NetworksData Scientists
Required CredentialsBasic understanding of neural network concepts, often with short-term training or certificationsAdvanced degrees (BSc, MSc, PhD) in data science, computer science, or related fields
Work EnvironmentProject-based, often contracted or temporary roles in tech or research firmsFull-time or consulting roles in various industries including finance, healthcare, and tech
Employer & Industry UsageUsed mainly in AI research, machine learning projects, and startupsWidely employed across industries for data analysis, predictive modeling, and decision-making

Temporary Neural Networks focus on short-term or project-specific AI model deployment, often requiring specialized technical skills. Data Scientists have a broader role involving data analysis, model development, and strategic insights across multiple industries. While both roles involve working with data and machine learning, Data Scientists typically have more extensive credentials and a wider scope of responsibilities.

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Infographic showing various Temporary Neural Networks job openings in Virginia as of August 2026, with employment types broken down into 45% Full Time, 54% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Research Associate, Department of Biomedical Engineering

University of Virginia

Charlottesville, VA • On-site

Full-time

Re-posted 26 days ago


University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

208th of 617 rated colleges and universities


Job description

The Department of Biomedical Engineering at the University of Virginia seeks a Postdoctoral Research Associate. The successful candidate will work in the lab of Craig H. Meyer, PhD, Professor of Biomedical Engineering, and will collaborate with John P. Mugler III, PhD, Professor of Radiology and Medical Imaging, and with Adrienne Campbell-Washburn, PhD, Senior Investigator in the Laboratory of Imaging Technology at National Heart Lung and Blood Institute, within a day's travel by car or train.
The Research Associate will focus on developing pulmonary MRI methods on a low-field (0.55T) scanner using both conventional (proton) and hyperpolarized-xenon magnetic resonance imaging. The research will include the following:
  • Development of new MRI methods, including pulse sequences, and image reconstruction techniques
  • Development of strategies to improve the spatial resolution and image contrast of structural lung proton MRI using efficient spiral sampling and neural networks for denoising, motion compensation, and data analysis
  • Development of strategies to improve the spatial resolution and image contrast of structural lung proton MRI using spin-echo-train pulse sequences, possibly including efficient spiral sampling
  • Development of methodology for hyperpolarized xenon imaging, for the first time at this MRI field strength, including the characterization of physical properties
  • Optimization of methodology for hyperpolarized xenon imaging of xenon dissolved in the membrane and red blood cell compartments of the lung
  • Preparation of research results for presentation at major conferences, publication in peer-reviewed journals and inclusion in grant reports

Postdoctoral employment is temporary and is normally limited to an individual who has been awarded a Ph.D. or equivalent doctorate within the previous five years and who will be involved in full-time research or scholarship at the University. Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows the appointee to publish the results of his/her research or scholarship during the training period.
Minimum Qualifications
Education: Doctoral degree
Physical Demands
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
The anticipated hiring range is $62,000-$68,000, commensurate with education and experience.
This is an exempt-level, benefited position. For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .
This is a restricted position, which is dependent on funding and is contingent upon funding availability.
This position is based in Charlottesville, VA, and must be performed fully on-site.
To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA .
Application review will begin after December 14, 2025.
Background checks and pre-employment health screenings will be conducted on all new hires prior to employment.
This position will not consider candidates who require immigration sponsorship now or in the future.
How to Apply
Please apply online , by searching for requisition number R0078527. Complete an application with the following documents:
  • Resume
  • Cover Letter

Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration.
Internal applicants: Search and apply for jobs on the UVA Internal Careers website .
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
For questions about the position, please contact Dr. Craig Meyer, chm5q@virginia.edu .
For questions about the application process, please contact Jessica Russo, Senior Recruiter, sxv9zv@virginia.edu.
Job Profile
J0267 - Research Associate - 12 Month
Career Stream and Level
No Career Stream-No Level
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819