229 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "I.E" research jobs at Harvard University
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about the Shih Lab: Learn more about the innovative work led by Dr. William Shih here: https://www.shih.hms.harvard.edu/ . What you’ll do: Develop DNA-based sensors that seed crisscross assembly of single
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/Area Computer Science Position Description Accepting applications for postdoctoral position in Reinforcement Learning, Probabilistic Methods, and/or Interpretability. Information on the lab can be found
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of neural circuits controlling various aspects of natural behavior. See our lab web page (https://www.engertlab.org/research ) for more information about our publications and research interests. Basic
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an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/ We are recruiting fellows from diverse backgrounds interested in solving tough problems
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Please see the fellowship page for more information: https://www.huri.harvard.edu/mihaychuk-postdoc-fellowships Additional Qualifications Special Instructions Contact Information Megan K. Duncan Smith
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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 . With
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. 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 . With this appointment, you are
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computational approaches. See our lab web page (https://projects.iq.harvard.edu/gaudetlab ) for more information about our publications and research interests. Basic Qualifications Candidate must hold a PhD in
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funded by the Gates Foundation, and in partnership with ministries of health, academic partners, programme implementers, and international health agencies such as UNAIDS, WHO, PEPFAR, and the Global Fund
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-relevant research related to aspects of the Medicare program, including payment policy, risk adjustment, and competition. Experience working with Medicare claims data, a deep understanding of econometrics