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Natural Science and the College of Engineering. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science
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research in the computational and theoretical modeling of free-electron-driven EUV nanophotonics. Working closely with experimentalists, the research fellow will lead the study of generating and
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Engineering (https://atomicfilmslab.org) and will work closely with the computational, device, and simulation teams, as well as with the education and mentorship teams comprising ASWESOME. This position
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neural mechanisms, and applying data-driven methods to learn or identify models from empirical data. Notice of Non-Discrimination and Equal Opportunity The University of Delaware does not
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environmental virology, UV disinfection engineering, aerosol science, surface science, and data-driven modeling to address HPAI transmission via air, water, and surfaces. The successful applicant will be expected
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Innovation: https://reporter.nih.gov/project-details/11294051 · WONDER: Accelerating Real World Data-driven Precision Oncology through Data Science and Informatics Excellence in Research: https
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scientific computing, control theory, data science, data driven methods, discrete mathematics, discretization methods, graph algorithms, high-performance computing, integral equations and nonlocal models