206 data "https:" "https:" "https:" "UNIV" Fellowship positions at Harvard University
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. Additional Qualifications: Candidate should have substantial publication history, in addition to good teamwork and communication skills. Contact Information: Roisin Dowling Contact Email: rdowling
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department-wide seminars and at scientific conferences or workshops. Salary and Benefits: This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined
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Center from September 1, 2026 – May 31, 2027. Contact Information: Kate Flaherty, Research Programs Coordinator Contact Email: kflaherty@fas.harvard.edu Special Instructions: Applications must be submitted
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research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu/ . For questions, please email mweber@seas.harvard.edu Applications will be reviewed on a
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Service Award levels. More information on Harvard postdoc benefits and pay levels can be found at: https://postdoc.hms.harvard.edu/guidelines Minimum Number of References Required Maximum Number
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maintain a repository for offer letters, research plans, and other fellowship correspondence and documentation. Maintain list of all fellows’ key information, including dates of appointment, salary
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data across multi-institutional research networks, with a focus on the analytical and computational challenges arising in precision medicine, mental health, and biomedical informatics. The postdoctoral
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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://postdoc.hms.harvard.edu/guidelines
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Initiative, among other areas of research. The post-doc's time will be spent primarily on analyzing longitudinal data and leading or co-leading academic papers. In addition, the post-doc will also help shape
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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy