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support safe, reliable, high-power operations of the SNS accelerator. Work collaboratively with group leaders to develop and execute a strategic R&D vision that enhances the performance of the SNS
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helium process system. Operate and maintain rotating equipment. Perform cryomodule repair and maintenance activities. Participate in the cryomodule refurbishment program restoring original cryomodules to a
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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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, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, machine
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and existing strategic directions for the ORNL and DOE Stable Isotope Program. Research, develop, and execute new methods of processing materials unique to extremely high-value isotopic material
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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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industrial heat pumps). The role also involves research and analysis of technologies and practices for increasing the energy efficiency of the industrial sectors. The primary objective is to deliver the direct
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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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policy issues that strive to ensure global nuclear security. One of our major focus areas is the development of advanced approaches to operation, characterization, and analysis of nuclear fuel cycle
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Isotope Program and other DOE mission areas. This has been a quickly expanding program at ORNL and offers significant opportunities for professional growth. The team demonstrates a collective excitement for