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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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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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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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, software, tools, and processes to promote a high-performance culture. Originate and implement processes which allow the flexibility of safe and efficient R&D efforts complemented with the necessary rigor as
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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
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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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high-quality pool of candidates and hire staff members who are committed to world-class R&D and aspire to be the best in their field. Assist staff in setting performance goals consistent with the group's
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support secure visitor access, SCI packages, document control, and destruction of classified materials. Serve as a proactive contributor to a high-functioning team focused on excellence in security
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production