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supersonic and hypersonic flows, as demonstrated by application materials. Familiarity with machine learning or data-driven modeling approaches in fluid dynamics, as demonstrated by application materials
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of compressible flow regimes, including supersonic and hypersonic flows, as demonstrated by application materials. Familiarity with machine learning or data-driven modeling approaches in fluid dynamics, as
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machine learning methods. Provide theoretical predictions to guide experiments, and atomic-scale physical understanding to experimental observations. Publishing findings in peer-reviewed journals
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in analysis of large complex data sets, as evidenced by application materials. Strong interpersonal communication skills, as evidenced by application materials. Demonstrated willingness to help mentor
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their skills, observe instructors as they teach classes, and – later during the scholarship – serve as instructor-of-record for undergraduate, STEM-related courses. Required Qualifications A PhD in biology
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candidates motivated to work on archival or new data from Kepler, TESS, Roman, PLATO, and/or other novel facilities. Job Description Conduct research in transiting planet detection and characterization, in
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’ habitable zones). Of particular interest are those candidates motivated to work on archival or new data from Kepler, TESS, Roman, PLATO, and/or other novel facilities. Job Description Conduct research in
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31108BR Kansas Geological Survey Position Overview The postdoc will synthesize data from public health and hydrologic databases to build an understanding of how drinking water source (groundwater vs
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achievement in these areas, as evidenced by application materials. NOTE : To be appointed at the Postdoctoral Researcher title, it is necessary to have a PhD in hand. Appointments made without a diploma or
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research team members on data analysis, and disseminating findings through scientific publications and conference presentations. Ideal candidates will have strong experience in MD simulations, QM chemistry