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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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Qualifications: Knowledge of tools such as Grafana, Polars, or Pandas for monitoring and analyzing large-scale workflow execution and provenance data. Familiarity with synthetic workflows, graph-based reasoning
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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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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems in the world. This position is in the Technology
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version control, CI/CD, testing frameworks, configuration management, and scalable computing architectures. Familiarity with high-performance computing (HPC), data management workflows, or large-scale data
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Requisition Id 15790 Overview Oak Ridge National Laboratory (ORNL), home to some of the world’s most powerful supercomputers, is seeking highly skilled professionals to support large-scale storage
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and analyzing large data sets from state-of-the-art nuclear physics instruments. Experience using pulse-height and waveform data acquisition systems. Experience analyzing data from gamma-ray tracking
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systems, and biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers, devices, and networked systems. It develops community applications
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that integrate with existing or new large language models and large vision models for resource optimization with energy grid data. Provide coding support to implement privacy preserving federated learning