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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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lead data analysis and algorithm development designed to determine the underlying factors contributing to health and disease, with a strong focus on discovering disease mechanisms at the level of
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candidate will lead research on the search for interstellar objects or Unidentified Anomalous Phenomena (UAP) through the analysis of data from the Vera C. Rubin Observatory. Successful candidates will have
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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
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-scale observational studies, with a particular emphasis on environmental exposures and public health. Core data resources include nationwide claims, linked with rich contextual information such as census
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should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a rolling basis until the position is filled
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Special Instructions Interested candidates should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a rolling