144 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship research jobs at Harvard University in United States
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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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solver who wants to be part of a dynamic team. Information about the Church Lab: Learn more about the innovative work led by Dr. George Church here: https://churchlab.hms.harvard.edu/ , https
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workshops as necessary to acquire new statistical skills. Reporting Results. Submits periodic reports of project status to supervisor, regularly suggests additional tests or modifications in current
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-2027 dates: https://registrar.fas.harvard.edu/calendars#tenyear). Applicants may consider an early September start date, or a late January start date, for shorter appointments. Review of applications
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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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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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: Learn more about the innovative work led by Dr. William Shih here: https://www.shih.hms.harvard.edu/ . What you’ll do: Design nucleic-acid nanostructures and assemble them in a wet laboratory
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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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, and either flow cytometry or microscopy, or both. The ideal candidate values patience, curiosity, and hypothesis-driven science, and is eager to learn new model systems and/or techniques. High standards