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predicting future hazards. Required Qualifications Ph.D. in Earth Sciences, Geodesy, Physics, Mathematics, Computer Sciences, Civil & Environmental Engineering, or a related field. Strong skills in technical
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packet. Required Qualifications PhD in Chemical Engineering, Biomedical Engineering, Materials Science and Engineering, Biological Sciences or related field. The PhD must be awarded no more than four years
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engineering. The position is concerned primarily with numerical simulations and machine learning algorithms to optimize a bioprocessing system. The Postdoctoral Associate will conduct numerical simulation
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Applications are invited for a Research Assistant Professor position with the Sanghani Center for AI and Analytics at Virginia Tech. The center works on machine learning and knowledge discovery with
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researcher would learn essential skills in clinic based biomechanical testing and analysis as well as the longitudinal tracking of adolescent patients following ACL reconstruction. The position will involve
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Job Description This position is in the research group of Professor Valerie Welborn. The researcher in this position will be working on a NIH-funded project centered around learning how water and
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research journals, teach one class per semester, present their research at national and international conferences, and, in some cases, help prepare and submit grant proposals with VT PIs. The Mathematics
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project, approximately 2/3 time with Prof. Chris Roy as the primary collaborator, involves applying machine learning tools to improve computational fluid dynamic (CFD) predictions of hypersonic aerodynamics