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Field
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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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parallel programming; and tracking the use of HPC resources and the resulting research outcomes and publications. verall, the position provides leadership and guidance on facilitation services and reports
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parallel programming; and tracking the use of HPC resources and the resulting research outcomes and publications. verall, the position provides leadership and guidance on facilitation services and reports
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Description Maintains, inspects, troubleshoots, programs and tests alarm systems and other assigned equipment. Under the general supervision of the electric services supervisor, this position is the
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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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-reviewed journals and conferences Demonstrated research experience with HPC, AI/ML and/or distributed systems techniques. Proficiency in programming languages such as Python, C++, or similar, as
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professional students. The Department of Computer Science has approximately 1200 undergraduate majors (on campus and online) and 190 graduate students in our masters and Ph.D. programs. The department has
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | about 1 month ago
and/or scientific development of the major programs of the laboratory, under the guidance of their supervisor. They are expected to work with a significant degree of independence on one or more specific
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electronic lab notebook (ELN) records. Manage multiple projects and tasks in parallel in order to meet program-based milestones. Train one or more postdoctoral researchers and/or one or more technicians
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-task and prioritize activities Conceptual knowledge of all and in-depth knowledge of some of the following: systems architectures, security, networking, storage systems, parallel computing, batch