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, and support advanced computing solutions for research in support of the St. Jude mission. This role is a key technical contributor within High Performance Research Computing (HPRC), working closely
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research area Quantum Service Engineering and High-Performance Computing focuses on making quantum computing usable as service-oriented applications, on integrating quantum resources into existing IT
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Geospatial Data & Computing Center to support ORNL’s geospatial high-performance computing (HPC) research portfolio within the Geospatial Science and Human Security Division. ORNL is the nation’s
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data to investigate various aspects student learning, such as behaviour, performance, and cognition. Publish & Present: Draft and prepare research manuscripts for publication in high-impact, peer
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance
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medium term. This includes applications combining quantum computing, artificial intelligence (AI), and high-performance computing (HPC), as well as quantum-inspired algorithms and quantum machine learning
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system security design. Experience with Linux systems, high-performance networking, and storage architectures. Experience with translating complex regulatory requirements into technical implementations
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learning techniques. Adapt computational pipelines for efficient execution on a high-performance computing (HPC) environment, including workflow automation and parallel computing. Apply these computational
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and seven (7) years of related experience in research computing and high performance computing. Work experience may NOT substitute for education requirement. Experience managing research computing
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ORNL’s COMPASS, a next-generation geospatial data & computing platform and data center, supporting the lab’s geospatial science research portfolio with high-performance computing (HPC) capabilities