5,141 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs in United States
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Description The National Defense Science and Engineering Graduate Fellowship Program (NDSEG) awards a number of fellowships each academic year, subject to the availability of funds. These awards
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Details Title POST-DOCTORAL FELLOW IN CANCER RESEARCH – SPATIAL BIOLOGY AND PRECISION ONCOLOGY School Harvard Medical School Department/Area Harvard Program in Therapeutic Science Position
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progress reports Qualifications Required Qualifications: BS with major in a science field and minor in philosophy or the reverse (double majors in a science and philosophy also considered) Computer
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Please see the fellowship page for more information: https://www.huri.harvard.edu/mihaychuk-postdoc-fellowships Additional Qualifications Special Instructions Contact Information Megan K. Duncan Smith
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of this position. If mutually agreed upon and aligned with program needs, the postdoctoral fellow may have the opportunity to contribute to one course or guest lectures in their area of expertise
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Fermilab, Computational Science and Artificial Intelligence Directorate Position ID: FNAL-CSAID-PRAECACSAID [#31223, FERMIPRA2026] Position Title: Position Type: Postdoctoral Position Location
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
University to support outstanding research. We will foster programs in the areas of basic, translational, mechanistic, and population research. Position Summary The Phanstiel lab at UNC (http://phanstiel
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Program will coordinate daily operations of research studies. These may include but are not limited to: Cardiac Catheter Lab divisional research projects, including FDA-regulated clinical trials for devices
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to collaborate with faculty from the Lucy Family Institute for Data and Society and the ND Population Analytics Program on other research projects and to advance the candidate's own scholarly agenda as well
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experience in computational and machine learning approaches for use in the quantitative measurement of human learning and its associated behaviors and motivational constructs. A strong applicant will hold Ph.D