36 data-analytics Postdoctoral positions at Harvard University in Ireland-University-Ranking-2024
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Details Title Postdoctoral Research Position in Data Science/ML for Assessing Societal Impacts of AI Data Centers School Harvard T.H. Chan School of Public Health Department/Area Biostatistics
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a curious, motivated postdoctoral researcher to join our research lab at the Rowland Institute at Harvard. Our research is primarily in physical/analytical chemistry and is strongly interdisciplinary
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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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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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contact, along with the design and construction of an instrumented system. Associated instrumentation includes UV-VIS spectrophotometry, electrochemical impedance spectroscopy, and analytical chemistry
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, and light scattering) with modeling of light transport. The postdoc will primarily work on the experimental studies but will also have the opportunity to participate in computational and analytical
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will lead and participate in observations and data analysis across the electromagnetic spectrum, or will lead work on machine learning classification of optical transients. Applicants with previous
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the intersection between quantum information and particle physics. The successful applicant will work in Professor Carlos Argüelles’ group on the development of new algorithms to encode and process particle physics
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Qualifications Applicants should submit a cover letter, CV, list of publications, and a research proposal explaining research interests (no page limit). Please also provide contact information for three references
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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