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and machine-learning-driven optimization frameworks for polymer composite manufacturing processes. This position resides in the Composites Innovation Group in the Manufacturing Science Division (MSD
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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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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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ideas and writing proposals that establish new projects Understanding for creating, modifying, and analyzing OpenStudio and EnergyPlus building energy models Design, implement, and optimize scalable
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role in designing, deploying, optimizing, and maintaining infrastructure that powers cutting-edge research across diverse scientific domains. This evergreen posting represents multiple opportunities
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Requisition Id 16073 Overview: We are seeking a Research Software Engineer who will focus on developing software to help create the digital factory of the future, assist industry in optimizing
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to improving system reliability, optimizing production efficiency, and implementing effective risk‑management strategies, all while adhering to organizational standards and meeting stringent customer
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objectives into robust pipelines, automate job orchestration and data movement, and optimize end-to-end workflow performance on large-scale Linux-based HPC environments and hybrid cloud/HPC platforms. Job
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magnetic properties. Extending this guide hall will allow for reconfiguring and optimizing the facility’s cold neutron instruments to significantly improve their performance, develop new capabilities, and
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to optimize utility of captured signals Conceive, write, and submit proposals to develop and expand a research program investigating signal collection and analysis for mission objectives Qualifications: A PhD