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Technician I - Learning Space Support Posting Type Student Hours/week: 5 - 10 Eligibility: Work study preferred but open to all students Semester 2025-2026 Academic Year Location Detailed Work Schedule
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Apply Now Job Summary The LSA Opportunity Hub is seeking temporary ALA 225 Internship Experiential Learning Course Assistants to correspond asynchronously with students enrolled in the ALA 225
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
). Revisiting Ionosphere-Thermosphere Responses to Solar Wind Driving in Superstorms of November 2003 and 2004. J. Geophys. Res., 122. https://doi.org/10.1002/2017JA024542 . 2. McGranaghan, R. M., A. J. Mannucci
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William and Joan Downing Scholarship for Military and Veteran Students The William and Joan Downing Scholarship provides assistance for active duty Military and Veteran students. Eligibility: Must
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Job Description Summary Under the direction of the Director of Learning Resources, the Learning Resource Specialist serves as a subject matter expert and strategic liaison between academic
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Posting Details Position Information Position Title Manager of Academic Technology & Digital Learning Division Academic Affairs Department/Office Provost Position Summary Information Advertisement
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The High Energy Physics Division at Argonne National Laboratory invites applications for a postdoctoral research associate position to conduct research in machine learning (ML) for applications in
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Position Title: Assistant Director of Athletics Learning Services Job Group: Professional & Scientific Required Minimum Qualifications: Bachelor’s degree and 5 years of related experience Preferred
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Job Description Summary In this specialized role, the Learning Designer will primarily (but not exclusively) support Spanish-language versions of online courses. This includes partnering with
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psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models