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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our
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previous research experience (computational and experimental) in the broad area of Nonlinear Mechanics. Applicants must have received a Ph.D. in Mechanical Engineering, or any closely-related field
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resides in the Functional Atomic Force Microscopy (FAFM) group in the Nanomaterials Characterization Section, Center for Nanophase Materials Sciences (CNMS), Physical Science Directorate (PSD) at Oak Ridge
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Minimum Qualifications The candidate should have a Ph.D. in chemical engineering, mechanical engineering, chemistry, physics, or materials science with a computational modeling focus. Experience 0+ years
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ability, strong mathematical background, computer programming experience. About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that
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scientific areas. We educate both Bachelors and Masters of Science in Engineering and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD
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materials manufacturing smart infrastructure sports engineering Our department hosts a leading digital manufacturing hub (PrintCity ), with a wide range of equipment that can be used to make mechanical
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, computer science, artificial intelligence, or a related quantitative field Experience with mathematical/statistical modeling and/or machine learning/Al methods Strong interest in infectious disease epidemiology
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combine everything from physics and chemistry to civil and electrical engineering. The Materials Science and Engineering Department in the College of Engineering is seeking a postdoctoral researcher to join
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and interest in one of the following fields: • Solid state quantum information science. • Quantum optical properties solid-state systems (e.g. semiconductor quantum dots, colour centers in wice gap