25 estimation-methods "https:" "Computer Vision Center" Postdoctoral positions at Harvard University in United States
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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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and/or slitless spectroscopy datasets and/or JWST imaging datasets Development of methods for large spectroscopic surveys and data products This is a two-year term appointment from date of hire with
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systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning
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scientists—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative datasets to support policy
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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time Spectroscopic studies of galaxies and AGN at intermediate to high redshift Analysis of JWST slit and/or slitless spectroscopy datasets and/or JWST imaging datasets Development of methods for large
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humanities disciplines. Familiarity with contemporary AI systems (e.g., machine learning, generative models) at a conceptual or applied level. Experience with qualitative or mixed research methods (e.g
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PLEASE NOTE- Applications MUST be submitted to the Harvard Academic Positions website in order to be considered. https://academicpositions.harvard.edu/postings/15491 The Gravity, Spacetime, and Particle
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education in the United States. Connections working at Harvard University More Jobs from This Employer https://main.hercjobs.org/jobs/22189408/postdoctoral-position-in-the-shi-laboratory-the-rowland-institute
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contact information. Applications will be reviewed on a rolling basis until the position is filled. For more information, please visit our website – https://www.liu-group.org – or contact the department