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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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, 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 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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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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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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for three professional references Applications that do not contain all required documents will not receive full consideration. Questions relating to the application process should be directed to Jeremy
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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 Yelena