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departments and institutes across UVA, such as Psychology and the Brain Institute. Candidates must possess a terminal degree in computer science, neuroscience, psychology, engineering, physics, mathematics
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at the convergence of artificial intelligence (AI) and physics. The ideal candidate should possess expertise in physics-informed/constrained machine learning—topics including, but not limited to: Physics-informed
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. For questions about the application process, please contact Margaret Weeks . The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing
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full consideration. Questions relating to the application process should be directed to Jeremy Brofft, Senior Recruiting Specialist, [email protected] . For information on resources for postdocs at UVA
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upon project need and performance. For additional information about the position, please contact Danielle Charette . For questions about the application process, please contact Margaret Weeks. For more
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, title, and email address of three references. Priority review of applications will be March 15, 2024 and the position will remain open until filled. For questions about the application process, please
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application process, please contact Rhiannon O'Coin, Senior Academic Recruiter, [email protected] . The selected applicant will be required to complete a background check prior to their first day of employment
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, convolutional neural networks, and Gradient-weighted Class Activation Mapping. Understand all phases of the research process including hypothesis generation data collection, preparation, modeling, evaluation
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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. Physical Demands: This is primarily a sedentary job
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/Resume Cover Letter Contact information for 3 references PROCESS FOR INTERNAL UVA APPLICANTS: Please apply through your Workday Home page, search “Find Jobs”, and search for “R0055268". ***Please note that