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issues Preferred Qualifications: Experience supporting research computing, High Performance Computing, or large-scale data platforms Knowledge of distributed and high-performance file systems Experience
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highly qualified individual to play a key role in improving the security, performance, and reliability of the NCCS computing environments. This includes supporting one of the fastest supercomputers in
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and predictive accuracy of analytical and computational tools used to characterize the dynamic performance of gas centrifuge rotors and their associated suspension systems. Purpose: ESED serves
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highly qualified individual to play a key role in improving the security, performance, and reliability of the NCCS computing environments. This includes supporting one of the fastest supercomputers in
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and hydraulic models to assess water availability, river behavior, and watershed dynamics, and to anticipate changes in water quantity and quality. Using high-performance computing and large-scale
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Research Associate to develop and apply computational technique for advanced manufacturing using high-performance computing resources. ORNL’s CCP conduct world-leading research and development in multi-scale
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the world. This evergreen posting represents multiple potential openings across ORNL’s high-performance computing ecosystem. Successful candidates will help architect, deploy, and maintain HPC systems
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. This section will advance the integration of high‑performance computing (HPC), artificial intelligence (AI), data science, and automation with experimental biosciences to enable predictive, scalable, and AI
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& 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 geospatial research laboratory
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computing solutions to efficiently scale testing environments supporting large datasets and high-performance AI workloads. Optimize resource allocation for simultaneous testing tasks and real-time tracking