210 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs at Harvard University
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commercialization. We encourage your professional growth and development through mentorship and tuition reimbursement to support continued learning, and more. We also support your physical, financial, and mental well
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Arnold O. Beckman Postdoctoral Fellowship in Chemical Sciences or Chemical Instrumentation Award Program Eligibility: U.S. citizenship or permanent residency required; must have no more than 18
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position in the Gozzi Lab at the Rowland Institute at Harvard (https://www.rowland.harvard.edu/). Our lab’s primary focus is on bacterial-encoded domesticated viruses, known as gene transfer agents
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journalism and connecting Middle Eastern (MENA) and American youth. The Open Canopy involves the ongoing development of an international online learning community, as well as the pursuit of related research
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Damon Runyon Cancer Research Foundation: Fellowship Award Eligibility: Foreign nationals may apply to conduct their research only in the U.S. Level 1: Basic and physician-scientists must have
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Burroughs Wellcome Fund: Postdoctoral Diversity Enrichment Program Eligibility: Limited to citizens of Canada and the U.S.; candidate must have no more than 48 months of postdoctoral research
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: January 9, 2026 For more information, see http://warrencenter.fas.harvard.edu/. Basic Qualifications Applicants may not be degree candidates and should have a Ph.D. or equivalent. Fellows have library
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Description With support from the Japan Foundation, the Program on U.S.-Japan Relations invites applications for the postdoctoral fellowship which includes a teaching component. One fellow will be appointed
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Jia Liu is seeking a highly-motivated postdoctoral researcher with a strong background in agentic artificial intelligence and machine learning. The successful candidate will conduct independent, high
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned