71 machine-learning-"https:"-"https:"-"https:"-"https:"-"The-Open-University" positions at Harvard University
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to prioritize work and coordinate research protocols with lab members Excellent attention to detail and organization skills Interest in learning and strengthening existing skillsets Special Instructions We highly
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of biomechanics and computer vision to document the wingbeat frequencies and phototactic behaviors of diverse insects under diverse contexts. Candidates will be expected to plan and lead behavioral experiments
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, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Special
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, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Additional Qualifications Special Instructions Application
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applications to teach in the Sophomore Tutorial program. Tutor positions are open to advanced graduate student and postdocs/PhD-level early career instructors with prior teaching experience. Sophomore Tutorial
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(ESE), in the field of atmospheric chemistry, with emphasis on modeling and remote sensing. The expected start date is July 1, 2026. The successful applicant will teach and advise at the undergraduate
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structural biology by providing support and training for researchers seeking to learn cryo-EM, serving as an interface between the instruments and a vibrant scientific community. Responsibilities to FAS will
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. Basic Qualifications Practitioner Fellows may come from a range of backgrounds, including diplomacy, journalism, private sector leadership, military, elected office, civil service, and civil society. We
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to continue with (and submit) your application). Learn More About OI’s Predoctoral Fellowship On Wednesday, January 21, 2026, at 1:00 pm ET, we will host a virtual information session (via Zoom) to provide more
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postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health, including experimental design and reinforcement