400 parallel-computing-numerical-methods "Institute of Computer Science" positions at Oak Ridge National Laboratory
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Requisition Id 16798 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is
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Participate in a 24/7 on-call incident response rotation Basic Qualifications: BS degree in Computer Science, Cybersecurity, or related field Minimum of five years of relevant experience Equivalent
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and promote HPC and clustered computing software solutions to researchers who process large data sets, run simulations, and develop scientific code as part of their projects. Design, develop, optimize
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, Cybersecurity, or related field. Minimum of two years of relevant experience. Preferred Qualifications MS degree in Computer Science, Cybersecurity, or related field. Strong understanding of U.S
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, the first supercomputer to break the exascale barrier and Orion, a 700 petabytes Lustre parallel file system. As an important part of the broader High-Performance Computing (HPC) infrastructure, the
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HPC and supercomputing resources. The candidate will also contribute to the development of large-scale identity and key management solutions. We are a leader in computational and computer science
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Qualifications: BS degree in computer science, information systems or related field Two years of progressive systems engineering experience in a Linux environment Full-stack system development
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Requisition Id 17200 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy Laboratory, conducting basic and applied research to deliver transformative
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Requisition Id 16562 Overview: The Analytics and AI Methods at Scale (AAIMS) group at the National Center of Computational Science (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance