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computer systems are required. Familiarity with basic medical terminology is preferred. Ability to work as part of a team with diverse internal and external constituencies. The posted pay range is Boston
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background check program, please visit: https://hr.ucdavis.edu/departments/recruitment/ucd/selection/background-checks
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Job Title: Upward Bound Summer Intern Location: Ivy Tech Community College – Indianapolis Campus Employment Type: Part-Time (20 hours per week) – Grant Funded Program Dates: June 8 – July 24, 2026
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language processing, speech and audio processing, energy informatics (including efficiency and sustainability), health, medicine and genomics. With a shared vision and a strong Idiap-EPFL strategic alliance, the two
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: 283289798 Department PPPL Computational Science Category Research and Laboratory Job Type Full-Time Overview PPPL summer internship program participant. A U.S. Department of Energy National Laboratory managed
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 14 hours ago
curriculum vitae that includes information about current clinical interests and knowledge translation activities, a three-page description of your proposed research program and vision for supporting
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Models to push the frontier where computer vision, physics simulation, and embodied AI converge. Join Us! This position is part of a collaborative research programme between the University of Amsterdam
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, vision coverage Paid time off 11 Paid Holidays (including the day after Thanksgiving & winter break) Tuition remission - eligible employees and their dependents can obtain a degree TUITION FREE A generous
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decisions that support health equity. The program also trains lawyers and other court personnels. The SP judicial education program is a tuition-free, interactive, and discussion-oriented course
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision