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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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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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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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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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. The projects in Dr. Farris’s lab focus on the study of the molecular and cellular mechanisms underlying learning. This work uses mouse genetics and advanced imaging techniques to investigate the role
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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