524 professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at Harvard University
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Details Title Postdoctoral Fellowships in Networking Support for Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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will contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, computer science, biomechanics, or a related field. Additional
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motivated individual to gain experience with computational social science research. The candidate's contribution would likely lead to authorship on papers published from these projects. Qualifications Basic
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of seven years’ post-secondary education or relevant work experience Additional Qualifications and Skills: BS or MS (or equivalent practical experience) in Computer Science, Computer Engineering, Data
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Brain & Behavior Research Foundation: BBRF Young Investigator Grants Eligibility: This grant is intended to support advanced post-doctoral fellows, instructors and assistant professors
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for undergraduate and graduate students. Qualifications: 1. A Ph.D. in Neuroscience, Molecular Biology, Genetics, Computer Science, or other relevant scientific discipline is required. 2. Basic understanding
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Mathematics / Computer Science Position Description Professors Le Xie and Na Li in the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seek a motivated postdoctoral
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School of Public Health studies the frequency, distribution, and determinants of disease in humans, a fundamental science of public health. In addition to pursuing ground-breaking global research
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics, and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer science
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maturation. Drive translational de-risking by shaping key studies, identifying scientific opportunities, and aligning research efforts with program goals. Collaborate with internal and external partners