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domains. Qualifications Required Qualifications: A recent PhD in a mathematical or scientific field (e.g., physics, computer science, statistics, applied mathematics, or a related quantitative discipline
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-renowned research institute and work closely with PhD students, PostDocs, software engineers and faculty members on developing cutting-edge AI ready data management. We’re working on extending and
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scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related discipline completed within the last five
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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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platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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include the following: experience using ROMS; familiarity with parallel computing and high-performance computing environments; a working knowledge of FORTRAN; experience working with large NetCDF data sets