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Sciences Informatics portfolio. You will help develop modular and scalable software tools and infrastructure for data processing and data center operations in the Earth, climate, and environmental sciences
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the world’s first exascale supercomputer system (Frontier), and deploying some of the largest parallel file systems in the world. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL
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management of HPC systems within a classified environment. We are looking for candidates with experience in HPC architecture, cluster management, and parallel computing, with a proven ability to work within
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simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor-intensive process because it is shown to be a leading
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simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor-intensive process because it is shown to be a leading
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simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor-intensive process because it is shown to be a leading
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workflows to enable AI-readiness at scale. You will work on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed
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computing for science and engineering; focuses on grand-challenge science and engineering applications; procures largest-scale computer systems (beyond typical vendor design points) and develops high-end
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with a particular focus on AI for Science, Natural Language Processing (NLP), and AI for Operations. Our aim is to push the boundaries of computational science by integrating advanced AI methods with
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clustered computing software solutions to researchers who process large data sets, run simulations, and develop scientific code as part of their projects. Design, develop, optimize, and maintain scientific