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Fellow to develop and evaluate artificial intelligence methods for physical medical procedures. The fellow will design and implement machine learning models to analyze procedural data, support clinical
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Apr-26 Location: Cambridge, Massachusetts Categories: Staff/Administrative Internal Number: 2db013be-c22b-4786
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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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reproducible analysis workflows Familiarity with computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability
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computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability to communicate scientific results clearly through
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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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. Additional Qualifications: Strong written and oral communication skills, technology mastery, Google Docs, Microsoft Suite, Teams, Zoom and management of calendar of events and website. Ability to learn Harvard
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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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: 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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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