65 data-visualization-analysis-"https:" Postdoctoral positions at Oak Ridge National Laboratory
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of finite element simulations methods. Experience using parallel Linux computing platforms, parallel job submission scripts, common software repository tools (e.g., GitHub), and parallel visualization
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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and simulation. Experience developing and evaluating computer systems through architectural modeling, simulation, prototyping, performance analysis, or experimental evaluation. Strong software
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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High
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changing needs For additional information, contact Dr Adam Guss (https://www.ornl.gov/staff-profile/adam-m-guss ; email address [email protected] ) or Dr Carrie Eckert (https://www.ornl.gov/staff-profile
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, thermal transport, or related experimental probes, including the effects of instrumental resolution, data reduction, and observable reconstruction. Experience with uncertainty quantification, covariance
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program: Contribute to the LEGEND-200 data analysis and the development of advanced analysis routines Contribute to the R&D on advanced instrumentation, design, and simulations of the next generation LEGEND
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data analytics, and manufacturing process optimization. Develop and apply models, algorithms, or data analysis workflows to support machining process understanding, machine tool characterization, process
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) advanced cooling solutions for energy systems; (3) thermal management for electronics and data centers; and (4) separation processes for building environments. Develop experimental setup, problem-solving
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Requisition Id 16889 Overview: The National Center for Computational Sciences (NCCS) provides state-of-the-art computational and data science infrastructure for technical and scientific