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Field
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to communicate and collaborate effectively in an international and interdisciplinary research environment. Desirable skills Experience in high-performance computing, including parallel programming and/or GPU-based
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. Excellent office, programming, and communication skills are essential. SPARC offers GPU/HPC infrastructure, large biomedical data assets, deep clinical partnerships, and direct opportunities to translate
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managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU systems) in cloud and/or on-prem environments. Familiarity with GPU orchestration in Kubernetes (e.g., NVIDIA device plugin, GPU scheduling
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. Administration and Operations: Partner with IT teams to administer, configure, monitor, and maintain research computing environments, including IBM zSystems, Linux-based servers, GPU and accelerator resources
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
. Two years of experience using shared HPC resources and experience assisting or training others. (Experience may include time while doing graduate studies.) Experience with GPU programming for scientific
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platforms (GPU/accelerated workloads): capacity planning/quotas, cluster or managed compute configuration, distributed training concepts, performance tuning, and chargeback/showback in cloud environments.
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expertise in optimisation; Computer Science, with expertise in design and analysis of algorithms and high-performance (GPU) computing; Industrial and Systems Engineering, with AI in process mapping and Conops
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-electron density, its spatial confinement, relaxation behaviour, and the resulting modification of optical constants—providing the basis for next-generation advanced manufacturing steps for GPUs or CPUs. Be
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for image segmentation and image analysis on the GPU cluster at EnMed (Pettigrew lab) Document the pipeline implementation for ready application by the EnMed students. Assists with data systems management and
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programming skills in Python, MATLAB, C++, or similar scientific computing environments, including high-performance and GPU computing. A strong scientific track record, evidenced by high-quality publications