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embedded systems to emerging unconventional platforms (e.g. probabilistic computing). The research will define the architectural requirements for the next generation of robotic hardware. Prospective
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Department: Auxiliary and Business Services Classification: Computer Ops Tech 1 Job Category: Classified Staff Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax, VA
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processor-level firmware development, real-time data handling, and mechanical integration of new sensors and hardware components. The person in this role will be involved in the full development cycle—from
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moderately complex projects, build customer relationships, and contribute your input to enchange service and business process solutions. Rack, cable, and validate new HPC compute, storage and infrastructure
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direct customer support and training contact as well as a higher level resource for undergraduate student technicians to assist users with Artificial Intelligence (AI) projects, robotics, edge computing
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. The position participates in the diverse job tasks of the IT Support Team including but not limited to; support of general hardware and software, printers, projectors, document cameras, scanners, and related IT
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Manage Zoom Rooms, Crestron XIO, Scheduling panels, EMS scheduling, public computers, and other Audio-Visual and Information Technology (AV/IT) related hardware and software Support & troubleshoot
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Salary Range $17.41-27.87/hour Type of Position Staff Position Time Status Full-Time Required Education HS Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk
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Deadline 15 Apr 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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well as large-scale GPU computing facilities for deep learning. We are looking for a Senior Research Engineer to manage the EEE GPU Cluster. The role will focus on leading the EEE GPU Cluster team and in charge