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Center for Research Computing and Data (CRCD), which operates a large multi-thousand-core cluster with GPU co-processors and PhD-level consulting staff. Pitt ECE also leads the NSF Center for Space, High
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Center for Research Computing and Data (CRCD), which operates a large multi-thousand-core cluster with GPU co-processors and PhD-level consulting staff. Pitt ECE also leads the NSF Center for Space, High
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and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing
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mathematics, computational science or a related field. Solid programming skills (e.g. C++ and Python); experience with GPU computing (CUDA), high-performance computing or machine learning is a plus. A
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<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 12 days ago
expertise in nephrology and to the bAIome high-performance computing infrastructure. The PhD student will be based in Hamburg, with regular joint meetings with the partner group in Aachen.p><p>
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machine-learning / GPU-based computing. Experience mentoring or directing the work of junior staff, students, or trainees. Technical Skills: Proficiency in Python for data processing, automation
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the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing
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of the CECI clusters cover a range of facilities including very fast CPUs and GPU accelerators. We also have access to supercomputer facilities of the regional Tier-1 (Zenobe) and projects can be
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the CECI consortium. The capabilities of the CECI clusters cover a range of facilities including very fast CPUs and GPU accelerators. We also have access to supercomputer facilities of the regional