871 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Bournemouth University" positions at Harvard University
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. https://pai.seas.harvard.edu The postdoc is intended for one year but we anticipate there will be funding to potentially extend it to a second year. The postdoc will receive a generous salary as
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Instructions Please submit the following materials through the ARIeS portal (https://academicpositions.harvard.edu ). Candidates are encouraged to apply by October 3, 2025; applications will be reviewed until
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with unit leaders to conduct annual utilization reviews and present data-informed recommendations. Cross-CADM Initiatives ("One CADM"): Serve as operational lead for select cross-functional initiatives
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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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desired. Special Instructions Required materials, to be submitted through the ARIeS portal (https://academicpositions.harvard.edu/postings/15712 ): 1. Cover letter 2. Curriculum Vitae 3. Writing sample
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commitment to teaching is desired. Special Instructions Please submit the following materials through the ARIeS portal (https://academicpositions.harvard.edu/postings/15822 ). For full consideration
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languages. Special Instructions Please submit the following materials through the ARIeS portal (https://academicpositions.harvard.edu ). Candidates are encouraged to apply by February 28, 2026; applications
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appointments and payrolls. Maintains awareness of compensation levels and equity across HBS and HU, and recommends appropriate compensation for research staff. Maintains and updates employment data and reviews
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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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Segel lab at Harvard’s Department of Stem Cell and Regenerative Biology (https://hscrb.harvard.edu/labs/segel-lab/ ) explores the biology of aging through the lens of developmental timing and lifespan