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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
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Research Infrastructure and the American Science Cloud. In this role, you will be responsible for supporting our user community to adapt and optimize their workflows for High Performance Computing (HPC
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-structured, accessible, and optimized for use by domain scientists and downstream AI applications. This position will analyze complex business and data management challenges and will design automated, cost
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, genomics, and other scientific domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by
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-structured, accessible, and optimized for use by domain scientists and downstream AI applications. This position will analyze complex business and data management challenges and will design automated, cost
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methodology Assist with code optimization and integration into Department of Energy (DOE's) applications running on the exascale computer systems with GPU accelerators We are looking for: PhD or equivalent
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: Development, performance analysis and optimization of end-to-end science workflows, including those originating at DOE facilities. Deployment of capabilities such as AI training and inference at scale, and