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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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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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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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), data versioning (e.g., DVC), and policy-driven management systems (e.g., iRODS, Globus), ensuring consistency, reproducibility, and accessibility. Optimize performance, scalability, and cross-team
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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
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Qualifications: Experience architecting hybrid AI systems that dynamically route between local and cloud models Hands-on experience setting up on-demand local model inference (GPU-backed or CPU-optimized
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, digital manufacturing capabilities, and data-driven approaches to accelerate the design, optimization, and scale-up of high-performance composite manufacturing processes. This position resides in
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library collections and services. This position primarily oversees the administration, maintenance, and optimization of cloud-based library systems and technology; supports and enhances access and discovery
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analysis teams, vendors, and personnel at the ITER headquarters in France to realize optimal design solutions in compliance with ITER requirements. Working closely with quality assurance and procurement
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, calibration, and application. Experience with computational methods including steady-state modeling, dynamic simulation, computational fluid dynamics (CFD) to support system design and performance optimization