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, prioritization of tasks, interpretation of results, troubleshooting, and development of next-step strategies. Collaborate effectively with scientists across disciplines while independently advancing assigned
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to accelerate multiscale materials and flow sciences. Major Duties/Responsibilities: Collaborate within a multi-disciplinary research environment consisting of computational scientists, computer scientists
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member in the Scientific Computing Group in the OLCF, and will collaborate with leading computer and computational scientists at ORNL and in the US Lattice QCD community in the development and application
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experiments, classical simulations, and quantum simulations. Collaborate with ORNL staff scientists and external collaborators. Write peer-reviewed scientific articles and present research findings at major
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within a multi-disciplinary research environment consisting of computational scientists, computer scientists, electrical engineers, domain scientists, and applied mathematicians conducting basic and
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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High
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data, with a focus on fluid and plasma dynamics. Collaborate within a multi-disciplinary research environment consisting of computational scientists, experimentalists, and engineers conducting basic and
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in high-performance computing and data analytics with applications in a large variety of science domains and NCCS is home to some of the fastest supercomputers and storage systems in the world
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strengths in high-performance computing, system architecture, and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems
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in delivering the intended residential energy cost and other household direct benefits. Data collection, processing/curation, and analysis. Development and implementation of econometric analysis (e.g