678 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at Harvard University
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) Description: Apply Description Join us as a postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health
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vibrant intellectual environment. Basic Qualifications Please see the fellowship page for more information: https://www.huri.harvard.edu/jacyk-distinguished-fellowships Additional Qualifications Special
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Skills Required: Strong computer skills and network-based applications. Demonstrated ability to operate the aforementioned systems, all of which reside on Operations Center Workstations. Additional
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a state in which Harvard is registered to do business (such as CT, MA, MD, ME, NH, NY, NJ, RI, and VT). Physical Requirements: Work will require sitting, near vision use for reading and computer use
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dramatic upheaval as a result of rapid technological change driven simultaneously by digitization, the application of artificial intelligence and machine learning to all facets of company, economic, and
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PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective
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presentations and draft sections of research papers Location: Department of Economics, Harvard University, Cambridge, MA Supervisor: Professor Gita Gopinath, website: https://gopinath.scholars.harvard.edu
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at: https://projects.iq.harvard.edu/ultra-qm . Applicants may also be considered for a potential future Gordon and Betty Moore Foundation Postdoctoral Fellowship. This fellowship would provide funding for up
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of the Ancient Near East (HMANE), the Collection of Historical Scientific Instruments (CHSI), and the Peabody Museum of Archaeology and Ethnology (PMAE). To learn more about HMSC's mission, objectives, and core
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of and experience with quantitative methods (simulation modeling, optimization, and machine learning) preferred This is an annual term position reviewed each academic year on or before June 30th, with