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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Teaching School: Grenoble INP UGA -IAE School website: https
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teaching duties. Requirements: Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct
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today to join Purdue’s IT team. What We're Looking For Education and Experience Required: Associate degree in Computer Science, Computer Technology OR a related field of study Six (6) months of IT desktop
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California State University, Long Beach | Long Beach, California | United States | about 17 hours ago
, Electrical Engineering, Computer Science or a closely related field. Areas of expertise may include, but not limited to, Networks and Systems, Internet of Things (IoT), Embedded and Cyber-Physical Systems
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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. The department
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28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Systems engineering
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Research Infrastructure? No Offer Description MetaTune is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program, starting in March 2026. The Network
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programming, robotic technology (e.g., robotic arms, co-bots), image capturing systems, augmented and virtual reality equipment, and other advanced manufacturing technology. Research and recommend new
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California State University, San Bernardino | San Bernardino, California | United States | 4 days ago
, the university mission extends to the Coachella Valley. Connections working at California State University, San Bernardino More Jobs from This Employer https://main.hercjobs.org/jobs/22085797/technology-support
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networks (SNNs) offer a bio-inspired and event-driven computational paradigm that naturally aligns with asynchronous sensing. By exploiting sparse spike-based communication and intrinsic temporal dynamics