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Details Title Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability School Harvard John A. Paulson School of Engineering and Applied Sciences Department
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Details Title HMS - Postdoctoral Fellow in Health Care Policy - Statistical Methods School Harvard Medical School Department/Area Department of Health Care Policy Position Description The Department
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detection and intervention promise to improve outcomes. We welcome applications from PhD and MD PhD graduates interested in this problem, particularly those who may bring a new expertise or perspective
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position. We are most interested in applicants who have experience in computational methods development, in human genetics or a different field. Possible areas of research include: 1. Developing methods
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skills in quantitative methods and data analysis software, writing skills 2. Research experience in related areas 3. Demonstrated ability to work independently, under supervision, and as part of a team
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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computational and experimental postdoctoral fellows, graduate, and undergraduate students, and a software and web engineer. Salary and Benefits This position is salaried and benefits eligible. Information
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, and statisticians—on projects that bridge methods, policy, and practice. This role will involve intensive analysis of claims data and related large administrative datasets to support policy-relevant
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, bioinformatics, biostatistics, molecular microbiology, computer science, and software development. PRINCIPAL DUTIES AND RESPONSIBILITIES (Essential Functions) Facility with analytical methods for microbiome data
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lab group meeting (journal readings, in progress research talks, visiting speakers), and helping affiliated PhD and undergraduate students gain access to and work with the Cebu data. The Postdoc will