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. Implement and optimize data representations and pipelines suitable for machine learning and uncertainty quantification. Collaborate with AI/ML experts to design and test inference methods that map
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Director’s Office, Chief Information Officer (CIO), and Associate Laboratory Directors (ALDs) to optimize data infrastructure, interoperability, cataloging, curation, and long-term storage architectures across
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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
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. They ensure the efficient running of servers, storage, network, and hardware systems in data centers while maintaining uptime and ensuring equipment is performing optimally. As part of our team, you will
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material inventory requirements. Lead schedule integration efforts across multiple production processes, balancing competing demands to optimize delivery of isotopes. Prepare forecasts, variance reports, and
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simulations to understand the physics driving enrichment technology and identify optimization paths. Propose and lead research to advance high mass ion source technology for flexibility across the periodic
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data and simulations to understand the physics driving enrichment technology and identify optimization paths. Independently complete research to advance high mass ion source technology for flexibility
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state visions to optimize the entire enrichment process Support the implementation and adaptation of existing ISO9001 quality program to include new stable isotope enrichment activities. Develop and
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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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Install, integrate, and administer Linux-based HPC clusters, storage systems, and high-speed networks. Monitor and optimize system performance, reliability, and scalability for large-scale computational