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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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)—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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. For questions about the application process, please contact Margaret Weeks , Academic Recruiter. Before a formal offer of employment is extended, the selected candidate will undergo a background check per
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, including the notion that mind and brain are distinct and separable and that some aspect of consciousness may survive physical death. This position is funded by the Philip B. Rothenberg Research Fund, and the
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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
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documents into one PDF for submission. Applications that do not contain all required documents will not receive full consideration. For questions about the application process, please contact Michelle
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Stafford via email at js8sj@virginia.edu . For questions regarding the application process, please contact Eric Allen, Academic Recruiter, at uth9qh@virginia.edu . PHYSICAL DEMANDS This is primarily a
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about the application process, please contact Margaret Weeks at mew7ys@virginia.edu. Physical Demands This is primarily a sedentary job involving extensive use of desktop computers. The job does
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ability to learn new software quickly and introduce new useful applications and platforms to the team. Proficient in advanced statistical modeling software (e.g., R, Stata, Matlab) Physical Demands This is
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and experience, in accordance with NIH guidelines. Physical Demands: This position is located in Charlottesville, VA To Apply: Please apply through Careers at UVA, and search for R0068607. Internal