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to hire a computer scientist specializing in techniques for scalable performance and energy usage optimization of software targeting high performance computing (HPC) systems. As a member of the Science
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knowledge of key AI methods such as deep learning, operator learning, and Bayesian optimization, and apply it to develop next-generation surrogate models. This position will enable you to coordinate and
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, configurations, and operational procedures. Cluster Management and Optimization: Oversee the installation, configuration, and management of HPC clusters, ensuring optimal performance, scalability, and reliability
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to determine effective solutions and optimal providers, whether internal or external, for programs and services. Evaluate and report the effectiveness of programs and services using Kirkpatrick’s 4 levels
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). The Emerging Technology Computational Group facilitates ORNL goals through HPC systems engineering, integration, and support for the research community at ORNL. By providing design, deployment, optimization
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-generation designs. Develop and apply dynamic system simulation tools for nuclear system design, analysis, and optimization. Optimize system and component designs for performance and safety. Complete thorough
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, and optimization solutions for both QC and HPC systems. We are a leader in computational and computer science, with signature strengths in high-performance computing, quantum computing, and simulations
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programs, supporting system reliability, asset management, and maintenance optimization to ensure long-term operational performance. As a U.S. Department of Energy (DOE) Office of Science national laboratory
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Technology Computational Group facilitates ORNL goals through HPC systems engineering, integration, and support for the research community at ORNL. By providing design, deployment, optimization, monitoring
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discovery with a strong emphasis on domain-driven impact. Develop, optimize, and transition algorithm prototypes to robust implementations Work with ORNL researchers, as well as internal and external project