675 data-"https:" "https:" "https:" "https:" "Simons Foundation" positions at Harvard University
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, professional school environment. Applicants should submit a CV, course description and outline, and prior teaching evaluations (if available) to https://academicpositions.harvard.edu/postings/15890 Our
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through the ARIeS portal https://academicpositions.harvard.edu/postings/15941 . Candidates are encouraged to apply by 27 March 2026; applications will be reviewed until the position is filled. 1. Cover
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Please submit the following documents through the ARIeS portal https://academicpositions.harvard.edu/postings/15911 Candidates are encouraged to apply by March 21st, 2026; applications will be reviewed
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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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(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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Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https
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the field and potential for significant contributions to the department, University, and wider scholarly community. Special Instructions Please submit the following materials through the ARIeS portal (https
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commitment to teaching is desired. Special Instructions Please submit the following materials through the ARIeS portal (https://academicpositions.harvard.edu ). Candidates are encouraged to apply by February
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Please submit the following documents through the ARIeS portal https://academicpositions.harvard.edu/postings/15911 Candidates are encouraged to apply by March 21st, 2026; applications will be reviewed
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an inclusive community of dedicated problem-solvers who hold themselves - and one another - to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu