69 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at The Ohio State University
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Sciences | Microbiology Administration This position researches theoretical and experimental methods for development and use of microfluidic and nanofluidic approaches towards understanding which viruses in
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of study in the fields of AI/ML, aerodynamics and acoustics, and computational methods. Demonstrated strong written communication skills. Required Experience: N/A Desired Experience: Doctoral degree in
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turbulent flows, and computational methods; Strong written communication skills. Preferred Experience: Expertise in the fields of system identification, modal decompositions, transitional and turbulent flow
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or pedagogy Desired: Experience in quantitative research methods focusing on biological teaching and success; experience with SPSS, R, Qualtrics, and Tableau software; experience collaborating
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high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal candidate holds a Ph.D. in Chemical Engineering
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Scholars are expected to lead analyses critical to the species delimitation research program and to take initiative in contributing to the design of investigations into little brown bats and other species
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motivated researcher with a strong background in computational modeling, system identification, and uncertainty quantification for civil infrastructure. The successful candidate will join the Risk Assessment
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. The research involves the development of practical and computationally efficient methods for adapting and fitting models from survival analysis to infectious disease transmission data and other data, including
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expertise in educational and social science research methods, with a strong background in quantitative and/or qualitative analysis. Show evidence of experience in survey research, instrument development, and
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biology education research and teaching in biology or pedagogy Desired: Experience in quantitative research methods focusing on biological teaching and success; experience with SPSS, R, Qualtrics, and