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Field
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HPC infrastructure; • installation, configuration, administration, and monitoring of: - CPU and GPU computing clusters, - storage systems, - virtualization and cloud computing platforms, - orchestration
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A call for applications is open for 2 Research Grants within the scope
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About us e-Research (soon to be known as Advanced Research Computing) at King's College London is expanding with the mission to help enable and facilitate computational and data-intensive research
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port scientific applications to maximize performance across CPU, GPU, memory, storage, and I/O. Contribute technical expertise to faculty projects through the RCC Consultant Partnership Program and other
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, or approximate computing. Knowledge of hardware security, fault tolerance, dependable computing, or hardware reliability. Experience with GPU, FPGA, embedded, or specialized AI accelerator platforms. Experience
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 7 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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Computing) at King's College London is expanding with the mission to help enable and facilitate computational and data-intensive research across KCL Faculties. We regularly add to our HPC cluster and Cloud
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of performance and power consumption. Design, model and evaluate new GPU architectures. Document, publish and present the results. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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functioning in a dynamic technological environment. Preferred Qualifications: Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed frameworks for machine
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that provides UTA faculty access to over $25 million in state-of-the-art research instruments and facilities. https://shimadzuinstitute.org/ Faculty members have excellent access to computational