28 programming-language "Data driven Materials Modeling" Postdoctoral positions at Harvard University
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program, or employed by a non-profit organization, as an undergraduate, postbaccalaureate, graduate, or post-doctoral trainee. Individuals who have previously received a professional development award from
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Medicaid and/or Medicare data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve serving as an author on selected
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FAS Office of Postdoctoral Affairs: Postdoctoral Awards for Professional Development (PAPD) Deadline Month: This program is currently on pause. Description: These awards are designed to support the
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storage applications. Previous experience with scanning probe microscopy is beneficial but not compulsory. Successful candidates will be expected to contribute to material synthesis, plan and lead research
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-impact JWST datasets and opportunities to contribute to multiple ongoing programs, as well as to a broader portfolio of datasets through the JWST Advanced Deep Extragalactic Survey (JADES) collaboration
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students on foundational machine learning and domain-informed scientific applications. These positions are especially well suited to candidates prepared to contribute to advanced research programs in modern
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. Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models. Strong programming skills in Python and experience building and maintaining research code. Demonstrated
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contributions. Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models. Strong programming skills in Python and experience building and maintaining research code