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analyzing numerical methods and/or machine learning methods for scientific computing. A strong computational background and experience with languages and frameworks such as Matlab, Python, NumPy/SciPy
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Hansen Fellowship Program The Hansen Fellowship will support students who demonstrate a record of exceptional musical performance and strong academic achievement. This scholarship will supplement
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, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, machine
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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their competencies in managing complex projects and working with global matrixed, multidisciplinary teams. Throughout both years of the fellowship program, mentorship opportunities and one-on-one interactions with
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of research. These include: Computational physics, including statistical mechanics, biophysics, fluid mechanics, quantum physics, and molecular dynamics Numerical methods for partial differential equations and
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI) School Harvard Medical School Department/Area Biomedical Informatics-Quad Position Description The Department of Biomedical
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Classification Title: Res/Fellowship Program Crd II Classification Minimum Requirements: Bachelor’s degree and three years of experience coordinating educational programs, accredited residency and
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position. We are most interested in applicants who have experience in computational methods development, in human genetics or a different field. Possible areas of research include: 1. Developing methods
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technical and career development. Qualifications: The ideal candidate will have a Ph.D. in Bioinformatics, Computational Biology, or a related field, with a strong background in bioinformatics methods and