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University policy. For additional information about the position, please contact Dr. Ahmad Jomaa at vve5sr@virginia.edu For questions about the application process, please contact Eric Allen, Academic
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, Physics, Engineering, or a related field, earned within the past six years Experience with AI and machine learning Excellent written and spoken communication skills Demonstrated ability to produce high
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assistants. 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. Salary
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electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from other scientific
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profile online; attach a cover letter, resume, and contact information for three references. Incomplete applications will not be given consideration. PHYSICAL DEMANDS This is primarily a sedentary job
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receive full consideration. Internal applicants: Apply through your Workday profile by searching “Find Jobs.” For questions about the application process, please contact Jessica Russo, Senior Recruiter
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applicants: Apply through your Workday profile by searching “Find Jobs.” For questions about the application process, please contact Jeremy Brofft, Senior Recruiter at xmf9ad@virginia.edu . The University
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)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
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their communications Data Collection and Analysis: Collect data on the implementation process, including facilitator performance and participant feedback Analyze fidelity data to identify areas where
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documents into the CV/Resume box. Applications that do not contain all of the required documents will not receive full consideration.*** For questions about the application process, please contact Rhiannon