208 data "https:" "https:" "https:" "https:" "Dr" "UCL" Fellowship positions at Harvard University
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econometric methods to administrative and other large-scale datasets—particularly claims data—to support policy-relevant research on competition and regulation in the U.S. pharmaceutical market
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Salary Range 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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. Further information can be found at https://postdoc.hms.harvard.edu/guidelines . Minimum Number of References Required 2 Maximum Number of References Allowed Keywords
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Laboratory directed by Dr. Capellini and located in the Peabody Museum on Harvard University’s Cambridge, Massachusetts campus. The lab’s website is: http://projects.iq.harvard.edu/evolutionary_genetics/home
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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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scientists, engineers, and/or doctors! The lab is committed to fostering lifelong learners in an environment that is diverse, inclusive and respectful. Learn more about our lab here: https
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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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Department of Molecular and Cellular Biology, Harvard University https://projects.iq.harvard.edu/bellonolab Explore molecular mechanisms underlying unique adaptations and behaviors. Fellows have freedom to ask
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Evolutionary Biology at Harvard University invites applications for a Postdoctoral Fellow in the Evolutionary Neuroscience Laboratory of Dr. Erin Hecht to contribute to comparative neuroscience research in
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the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale