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to push the boundaries of what’s possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. We don’t
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
: (1) coordinates all information technology services at the College level; (2) establishes and implements College level computing policy and procedures; (3) represents and advocates
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. This position is Exempt from the Fair Labor Standards Act (FLSA) overtime provisions. Benefits at a Glance Want to know your total compensation? Use our calculator to get the complete picture! CU advantage
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. We encourage you to apply even if your experience doesn't match every listed requirement. #YouBelongHere To learn more about our background check program, please visit: https://hr.ucdavis.edu
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in the College of Engineering. UNLV GPU Cluster (named RebelX) is also available for A.I. research and education. GPU Cluster, supported by NSF MRI (#2117941), provides high-performance computing
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). Experience with distributed systems, GPU computing, or cloud-based simulation environments. Knowledge of human-in-the-loop simulation, training effectiveness evaluation, or synthetic environments. Experience
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the College of Engineering. UNLV GPU Cluster (named RebelX) is also available for A.I. research and education. Detailed information about the CEEC Department can be found at: http://www.unlv.edu/ceec MINIMUM
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of the Empire AI Consortium, researchers have access to state-of-the-art computational infrastructure, including large-scale GPU clusters and high-performance computing resources. The Institute has
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and independent research program, teach effectively at both the undergraduate and graduate levels, and provide service to the department, the university, and the profession. The Aerospace Engineering
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Generative AI Labs (GAIL), translating cutting‑edge research into working open‑source prototypes and scalable tools. They collaborate closely with Wharton Computing, faculty researchers, and external partners