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, machine learning, optimization, and statistical data analytics are sought. Successful applicants will have experience applying these tools to a range of data problems, such as time-series analysis
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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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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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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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-disciplinary projects • Enthusiasm to learn how to use organoids to investigate pathogen infectivity • Demonstrated ability to work independently as well as in collaboration with investigators in other
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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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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
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active scientific environment, learning new techniques, and managing multiple project duties. This position will provide an excellent opportunity to gain research experience in neuroscience and medical