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-preservation algorithms. The successful candidate will develop cutting-edge differential privacy techniques for large-scale models across multiple institutions. This position offers a unique opportunity to work
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algorithms at scale on ORNL's computational resources, including the Frontier supercomputer, addressing critical challenges in science and engineering. Communicate and coordinate experimental results with
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Computing Methods for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity computational models and systems using algorithms and analytics for materials and
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, profile, and tune first principles materials applications for high performance Adapt, develop, and publish applications and algorithms that scale to OLCF computers Apply and improve advanced computational
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data analytics, and manufacturing process optimization. Develop and apply models, algorithms, or data analysis workflows to support machining process understanding, machine tool characterization, process
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applied AI/DL research in support of the Laboratory’s missions. Basic Qualifications: A PhD in computer science or an AI-related field completed within the last 5 years. Demonstrated expertise in scalable
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support collaborative projects. Publish research findings in peer-reviewed journals and present work at scientific workshops and conferences. Design and implement scalable AI/ML optimization algorithms
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
Requisition Id 15685 Overview: The Center for Nanophase Materials Sciences (CNMS) is seeking a Postdoctoral Research Associate to support research directed towards developing novel AI/ML algorithms