309 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Oak Ridge National Laboratory
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plans for the computing environment and lead technical projects from conception to completion. This includes planning for hardware upgrades, new technology implementations, and system performance
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scientists, engineers, and technicians on challenging, fast-paced technical projects and operations in support of the DOE Isotope Program and specifically associated with the rapidly growing field of stable
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/Responsibilities: Provide engineering support for Cooling Systems equipment and projects. Perform hydraulic analysis using computational fluid dynamics (CFD) software to understand performance limitations in
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). Major Duties/Responsibilities: Develop AI/ML models and systems for diverse data and mission contexts Design and implement reproducible pipelines for data acquisition, feature engineering, model training
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transformative solutions to compelling problems in energy and security. We are seeking a Section Head to lead the Enrichment Systems Fabrication and Demonstration Section in the Enrichment Science and Engineering
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through the High Flux Isotope Reactor, the Radiochemical Engineering Development Center, ORNL’s other nuclear facilities, and an assemblage of world-leading scientists and engineers. Please visit https
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Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic Qualifications: A PhD in physics, chemistry, biochemistry or a related field completed within the last five years
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. in Hydrology, Earth system science, Water resources engineering, Computational sciences, Computer sciences or a related field completed within the last 5 years (or expected soon). Demonstrated
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algorithms needed to model complex physical, chemical, engineered and biological systems. ORNL’s computational science research focuses on extreme scale computing and data analysis, storage, visualization
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modeling, AI/ML, data infrastructure, and laboratory automation with biological research programs across BSD. Champion interdisciplinary collaborations with computing, engineering, and data science divisions