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distribution efficiency. You will contribute to network, publish outcomes, and participate in QUESTING training and consortium activities. The role includes two planned 3-month secondments: University of Cyprus
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distributed across multiple buildings and sites. The Engineering Network Services department supports academic and research needs of students, researchers, faculty and staff within the College of Engineering
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
obligations. Identity Management (IdM) identifies individuals within an enterprise or group and defines and controls the access they have to information and resources within a computer network based on
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knowledge of the installation, configuration, and troubleshooting process for software, hardware, end-user networking and peripheral equipment in a networked environment Familiarity with some or all
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, as well as a BCOE designated supervisor. The internship is part of a broader project building a network of food justice and environmental justice groups in CT and supporting student engagement. Interns
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recruiting, training, and serves as work lead for work-study students who cover the following front office duties: greet public, answer phones, direct inquiries, distribute and redirect mail, prepare overnight
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Communication Solutions, IoT verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and Coexistence, Tactile
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technical support for UCEAP’s network and Study Centers. Collaborates with local and remote consultants/vendors to support UCEAP operations across geographically distributed office networks. 30% Network
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and Service Delivery Provide second/third-tier technical support for daily operations and project efforts. This support takes place in a complex, distributed IT infrastructure environment. Additionally
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-modal foundation models, including SciFM architectures coupled to knowledge graphs, GPU-accelerated PyTorch training pipelines, distributed training on HPC systems, and tools for training diagnostics and