578 data-"https:" "https:" "https:" "https:" "https:" "https:" "University of Exeter" positions at Harvard University
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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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global leaders advancing oral and systemic health. For more information about the Harvard School of Dental Medicine, please visit: http://hsdm.harvard.edu/ . The Department of Oral Medicine, Infection, and
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/or molecular biology. For more information regarding research in the Churchman lab, please see: http://churchman.med.harvard.edu Qualifications Basic Qualifications: College background or equivalent
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at the intersection of technology and public policy. One position will focus on the application of new technologies to the solving of public problems. We are particularly interested in computer scientists or social
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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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appointment begins. Additional Qualifications Demonstrated strong commitment to teaching is desired. Special Instructions Please submit the following materials through the ARIeS portal (https
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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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1050 Boston, MA 02115 Contact Email david_lucas@hms.harvard.edu Salary Range Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https
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national survey data Participates in development and implementation of population-level disease simulation models to evaluate the impact cost-effectiveness of various health policy interventions on reducing
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computational engineering or applied science field such as computer science, applied mathematics, applied physics, data science, computational science and engineering, human-computer interaction, design