29 high-performance-computing Postdoctoral positions at Oak Ridge National Laboratory
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-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency and reliability of scientific discovery
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Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial intelligence (ML/AI) techniques that incorporate
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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and
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Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial
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the following areas are required: 1) wetland science; 2) hurricane science; 3) remote sensing; 4) deep learning and AI, 5) high-performance computing. Experience using AI models is required; experience
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computing AI on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to: Vision transformers. AI foundation models. Computing and energy-efficient
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binding and selectivity manifested in improved separations. Develop and evaluate statistical mechanical and machine learning tools for studying molten salts using the leadership-class high-performance
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safety at ORNL and DOE sites. This position resides in the Performance Engineering group in the Data and AI Systems Section in Computer Science and Mathematics division within Computing and Computational
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to support the design. Perform computational fluid dynamic, computational magnetohydrodynamic, thermal hydraulic, and mass transport simulations of tritium breeding blanket designs. Collaboration with a broad
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, the candidate is also expected to be involved with both basic and applied research projects such as the synthesis of surface initiated homopolymers, block copolymers and dynamic polymers, recyclable high