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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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record of research and/or experience in fluid dynamics and turbulence, particularly wall-bounded turbulent flows, as demonstrated by application materials. Demonstrated experience in computational fluid
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appointment. Demonstrated record of research and/or experience in fluid dynamics and turbulence, particularly wall-bounded turbulent flows, as demonstrated by application materials. Demonstrated experience in
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experience and ability with conducting, interpreting, and/or successfully simulating occurrence rate observations, as evidenced by application materials. Previous experience in experimental techniques and
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experimental techniques and software relevant to astrophysical observations, as evidenced by application materials. Previous experience participating in and/or leadership of, professional service activities
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are conditional hires and are appointed on an interim basis not to exceed 6 months. Preferred Qualifications Previous experience in experimental physics, as evidenced by application materials. Previous experience
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for working with both public health and/or environmental data/models, and experience working with an interdisciplinary team of researchers and stakeholders. This position is based at the Kansas Geological
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about a postdoctoral experience that combines both research and teaching/education. The KU IRACDA (Institutional Research and Academic Career Development Awards) is a postdoctoral training program
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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
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postdoctoral researcher for a collaborative experimental and computational project with the University of Michigan that studies the chemical and electrochemical properties of supersaturated metal salt