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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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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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(VADL) required. PHYSICAL DEMANDS Job requires Proficient communicative, auditory and visual skills; Attention to detail and ability to write legibly. The University of Virginia, i ncluding the UVA Health
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allocation for the Research Associate and full research, teaching, and administrative support. Physical Demands This is primarily a sedentary job involving extensive use of desktop computers. The job
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all of the required documents will not receive full consideration. For information regarding the position or the application process, please contact Michele Jarman , Academic Recruiter. For questions
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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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contact James Daniero, MD, MS at [email protected] and Elena Miller, MPH at [email protected] . For questions about the application process, please contact Karon Harrington, Academic Recruiter
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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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, 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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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