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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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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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the following qualifications: (1) completed advanced degree, (2) previous teaching experience of Coptic at all levels. Previous publications are desirable, but not required. Contact Information: Applicants may
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substrate to do novel work. In this role you will gain experience developing approaches to research and analyze large multimodal datasets, with data ready to analyze you can focus on developing research
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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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data. Prepare and publish scientific manuscripts as a lead author. Present research findings at national and international conferences. Collaborate with other group members and external research partners
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relevant field and the ability to teach effectively in a policy-focused, professional school environment. Applicants should submit a CV and teaching evaluations to https://academicpositions.harvard.edu
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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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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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, for our excellent leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description