64 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at University of Maryland, Baltimore
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year, paid holidays, sick time, and time for community service; subsidized comprehensive health insurance and supplemental retirement options; professional learning and development programs; limited
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over 2 weeks of vacation each year, paid holidays, sick time, and time for community service; subsidized comprehensive health insurance and supplemental retirement options; professional learning and
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retirement options; professional learning and development programs; limited tuition remission for employees enrolled at UMB; life insurance and long-term disability; and flexible work schedules and teleworking
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community service; subsidized comprehensive health insurance and supplemental retirement options; professional learning and development programs; limited tuition remission for employees enrolled at UMB; life
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. Opportunities also exist to learn about clinical research as translation of pre-clinical research to the clinic is one of the main charters of this group. Requirements: The qualified candidate will have a Ph.D
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; subsidized comprehensive health insurance and supplemental retirement options; professional learning and development programs; limited tuition remission for employees enrolled at UMB; life insurance and long
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time for community service; subsidized comprehensive health insurance and supplemental retirement options; professional learning and development programs; limited tuition remission for employees enrolled
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Post-Doctoral Position - Medical Image Processing - (240000Y9) Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in
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days and 15 days of sick leave); comprehensive health insurance; professional learning and development programs. Qualifications Applicants must have a PhD, or MD/PhD with experience in immunology
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treatment techniques. Incoming trainees will have the opportunity to discuss and identify clinical experiences they are interested in learning. They will have the opportunity to select from the following