30 parallel-computing-numerical-methods-"Multiple" Postdoctoral positions at Virginia Tech
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of quantum error correction, tensor networks, and/or machine learning. Experience with programming and numerical methods is preferred. Overtime Status Exempt: Not eligible for overtime Appointment Type
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
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jurisdictions utilizing land use-value assessment estimates. Duties include, but are not limited to: development of computational methods, maintenance of current models and data sets, identifying and testing
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Job Description Applications are invited for a National Science Foundation funded (LEAP HI Program #2051685), Postdoctoral Associate position with the System Performance Laboratory (SPL
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systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine first-principles modeling, machine-learning
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research program that works both within and at the boundaries of data science/econometric methods and the social sciences to discover, create, and disseminate new knowledge. The successful candidate will
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government partners, we conduct cutting-edge research on paper-coating technologies using aqueous spray-coating methods to address emerging challenges in food and healthcare packaging. We are seeking a highly
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applications to biological questions. • Solid background in coding. • Demonstrated ability to work effectively with a diverse team from multiple disciplines. • Demonstrated ability or potential to lead graduate
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performance in advanced nuclear reactor environments. Under the mentorship of the Center Director/PI, the postdoc will develop and apply novel experimental methods, advanced characterization techniques, and
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, materials, virology, computational biology, science communication, community engagement, and ethics. Candidates should demonstrate all relevant qualifications (see required and preferred qualifications below