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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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, and measure success. Basic Qualifications: A PhD in Theoretical Physics or a related discipline completed within the last 5 years. Experience with High Performance Computing and programming
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration
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publish scientific results in peer-reviewed journals or conferences. Basic Qualifications: • A PhD in Computer Science, Applied Mathematics, Computational Science, or related discipline completed within
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developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation of results. Deliver ORNL’s mission by aligning
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other domain experts to facilitate collaboration. Present and report research results and publish scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer
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-driven techniques for the generation and exploration of complex, large-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel
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mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: PhD in a computational discipline such as Data
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teaching load of 2 classes per year. The position is for two years, and can be renewed for a third year pending satisfactory performance. Required Qualifications ● A PhD in Mathematics or an equivalent area