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equipment, facilities, and systems so that they are ESH&Q compliant. Perform all work in a safe manner. A high degree of precision completing activities such as measurements and mixing of chemical solutions
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, high performance computing and deep learning. The candidate will work in a collaborative research and development environment focusing on designing, implementing, and applying robust and high performance
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scientific computing, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear
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Ridge National Laboratory (ORNL) is seeking a staff fellow with expertise in machine learning and high performance computing to help develop high-fidelity computational tools that are used for large-scale
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research workloads, delivering reliable, high-performance object, block, and file storage services. Ensure the availability, performance, scalability, and security of production storage environments
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Documentation: Develop and manage key project artifacts such as charters, roadmaps, software quality assurance plans, and high-level requirements. Oversee Financials: Perform cost-benefit analyses, allocate
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program goals within time and resource restrictions. This is accomplished by assisting the 3047 Operations Task Leader and ensuring that all work is performed in accordance with applicable Nonreactor
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Directorate (PSD) at Oak Ridge National Laboratory (ORNL). This position offers an exciting opportunity to contribute to research in nuclear theory using high-performance computing and advanced many-body
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highly qualified individuals to play a key role in improving the security, performance, and reliability of the NCCS computing infrastructure which supports multiple highly ranked Top500 Supercomputers
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). Knowledge of high-performance computing or cloud environments for large-scale data. Strong collaboration skills and ability to work in interdisciplinary teams. Special Requirements: Applicants cannot have