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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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functionalities. Applies advanced knowledge of ASME Y14.5-2018 standards in performing tolerance stacks to assure fit and functionality of proposed designs. Performs design analysis and optimization to ensure
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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, and reporting to improve infrastructure visibility and observability. Use infrastructure data for predictive capacity planning. Optimize cooling and power efficiency from analytics. Security, Compliance
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optimization across quantum and classical computing resources. Conduct hardware-software and application-system co-design by considering interactions among quantum hardware characteristics, HPC architectures
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maintain Windows server environments. Monitor and optimize system performance, ensuring uptime and reliability. Perform regular system updates, patches, and backups. STIG checking and systems compliance
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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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tool metrology, process monitoring, manufacturing process optimization, and related manufacturing technologies. Serve as a senior technical contributor and project lead for medium to large research
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organizations and institutions. Our current focus is on production and processing optimization to grow production capabilities for medical and industrial radioisotopes, including Ra-226, Ac-227, and Th-228. Major