4 programming-"https:"-"https:"-"Data-driven-Materials-Modeling" Fellowship positions
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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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materials characterization Strong background in computational materials science and machine learning applications Proficiency in programming and data analysis languages (LabVIEW, Python, MatLab, OriginPro
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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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, and modeling of neuroscience data and concepts. Proposals focused on disease mechanisms or that do not contribute to our understanding of non-disease states are not suitable for this call. Candidates