110 computer-programmer-"DIFFER"-"U"-"U.S"-"CNRS-ENS-UCBL" Fellowship positions at Harvard University
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rolling basis. The position will remain open until filled. Basic Qualifications A Ph.D. in Mathematics, Applied Mathematics, Computer Science, or a related field, by the start of the appointment. Additional
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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
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, biomechanics, or a related field. Additional Qualifications Interest in
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University is focused on studying complex molecular pathways underlying different disease states, especially late onset neurodegenerative disorders and neuromuscular diseases, with a goal of identifying novel
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Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering
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or computational research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing of grants and manuscripts, participate in teaching and mentoring of lab members as
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Fellows: Rubin Lab The Rubin lab in Harvard’s Department of Stem Cell and Regenerative Biology has an exciting and broad multiomics program focused on brain aging. Approaches will include experimental and
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Details Title Postdoctoral Fellow in Robotics School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position Description The John A. Paulson
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will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral