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Experience4 - 10 Research FieldPhysicsYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers
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Department: Col of Visual and Performing Arts Classification: 9-month Instructional Faculty Job Category: Instructional Faculty Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk
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Support Job Type: Regular Work Shift: Night Shift (United States of America) Sponsorship Available: No Institution Name: University of Arkansas for Medical Sciences The University of Arkansas for Medical
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presence and support the work of faculty, staff, and students in both locations. In Edinburg, the school is hosted in the 50,000 square-foot Edinburg Visual Arts Building, located three miles from the main
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of information regarding audio-visual technology and provides instruction and training concerning the use of existing equipment. 4. Coordinates collaborative course support efforts across Academic Media
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of AV and technical support both before and during events. The MIT Museum offers a robust slate of programming, including private function rentals and museum programs and events that take place both
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
. Responsibilities will include assisting with the lab’s data and research pipeline by collecting and cleaning data, performing data management and analysis, creating graphs and figures, visualizing data, assisting
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. For information about the Institute for Simulation and Training and the Orlando area, see http://www.ist.ucf.edu . We are seeking an Assistant In Embedded Training Researcher/Software Engineer with expertise in
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: Regular Work Shift: Night Shift (United States of America) Sponsorship Available: No Institution Name: University of Arkansas for Medical Sciences The University of Arkansas for Medical Sciences (UAMS) has
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Engineering in the 2025 QS World University Rankings by Subjects. The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and