137 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" Fellowship positions at Harvard University in United States
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Position Description We are seeking a Research Fellow with an undergraduate or masters degree in Biomechanics, Kinesiology, Movement Science, Physiology, or Biomedical Engineering, to assist with data
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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
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of high quality, original, independent research. They will be chosen by the Program Board of the American School of Prehistoric Research. Prior to applying, candidates are encouraged to communicate
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Professor Leemore Dafny . Appointment to begin July 1, 2026, renewable for a second year based on mutual agreement. Basic Qualifications A Ph.D. in economics, public policy or a closely related field. All
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native peoples, or peoples of African, Asian, or Hispanic descent. The fellowship includes the requirement to teach one course per year (ideally in the fall term), to participate in a fellowship program
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computer science Special Instructions Applicants should include a full CV, cover letter summarizing your experience, list of reference contacts (minimum of 3), and up to 3 publications. Contact Information Marina
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and pliable and can assist with hip and back movement by applying appropriately timed joint torques to the wearer. The successful candidate will have clinical trial and human subjects experience, will
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Life Sciences Research Foundation: Postdoctoral Fellowships Eligibility: Non-U.S. citizens must work in a U.S. laboratory. Individuals who have held a PhD or MD degree for more than 5 years at the time of application are not eligible. Applicants must complete postdoctoral training in a lab...
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the aging of the brain. The Segel lab is new (starting Summer 2024)! We are looking for a number of highly-motivated individuals who want to be part of a new research group; who want to help establish a
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research