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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
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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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. 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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process Skill Survey. A total of five references will be requested via SkillSurvey during the final phase of the interview process. For questions about the application process, please contact Jon Freeman
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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
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Collaborate with leading researchers within and outside UVA Qualifications: U.S. citizenship required Ph.D. in Data Science, Statistics, Computer Science, Network Science, Physics, Engineering, Sociology
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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