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Posting Description IT SUPPORT SPECIALIST, Information Systems and Technology (IS&T), in the Escalations team identifies emerging and complex IT issues and problems, and facilitates the resolution
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surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs of the original computations at a fraction of the cost. This hybridization aims not only
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seeking a candidate to fill the role of Network Architect Intermediate. This role includes work in network engineering, architecture, infrastructure support, cloud networking, and automation. Complex
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: 86620BR The Network Security Engineer within the University of California, San Francisco's (UCSF) Information Technology (IT) department will ensure the security and integrity of UCSF's network
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operations staff to provide escalated incident support, fulfill complex customer requests, assist in researching new technologies, contribute to development of solutions for network expansion, and growth
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
generation of wireless communication (6G) to extend network coverage, supporting diverse data-intensive applications such as immersive extended reality and autonomous systems. However, aerial 6G networks will
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- KUEN/Utah Education Network Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 83,000 - 100,000 Close Date 01/19/2026 Priority Review Date (Note - Posting may
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that will directly address the challenges our community faces in navigating the University’s complex processes—making a real difference to how services are delivered and experienced. As a key member of
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of complexity in collaboration with their direct supervisor. The analyst brings deep analytic and financial management skills to focus on Marin Health Medical Network (MHMN) to guide decision-making and develop
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 2 months ago
complexes. The successful candidate will develop novel graph neural network (GNN) architectures to learn dynamic information from molecular dynamics (MD) simulations of protein-protein and protein-nucleic