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Field
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computing needs, including GPU-enabled workstations, specialized software, reproducibility, performance, and secure remote access. Ability to diagnose issues across operating systems, drivers, remote desktop
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sciCORE is the center of competence for scientific computing at the University of Basel, Switzerland's oldest university and one consistently ranked among the world's leading research institutions
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or GPU computing environments. Familiarity with version control, containerization, and reproducible-research tooling. Preferred Competencies Work independently and collaboratively within a
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skills include the following: Applicants must demonstrate knowledge of Linux-based computing, high-performance computing, GPU-enabled environments, distributed or cluster-based systems, and AI
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? TheDepartment of Computer Science (DIDA) is one of two departments in the Faculty of Computing. It is
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microscopy, X-ray imaging, and light microscopy). It supports researchers across three compute scales: laptop-based prototyping (S-Gym), single-GPU workstations (M-Gym), and multi-node HPC at the National
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monitoring plugin. Based in the PRISMA Computer Vision lab within the School of Computer Science at the University of Sheffield, the post offers access to high-performance computing and GPU facilities
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project GPUs (B200s and cloud credits) and GPUs from the Department of Computing and the College of Engineering (A100s and H200s) The opportunity to continue your career at a world-leading institution and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
supporting GPU computing environments, including NVIDIA drivers, CUDA, GPU scheduling, monitoring, and performance optimization; familiarity with AMD ROCm is desirable. Experience with container technologies
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Position Summary Serve as the Lead for the team ensuring smooth operation of the Linux cluster consisting of 300+ GPU/CPU compute nodes including parallel filesystems and high-performance network