42 parallel-and-distributed-computing Postdoctoral research jobs at Oak Ridge National Laboratory
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Requisition Id 14889 Overview: We are seeking a Postdoctoral Research Associate who will focus on delivering groundbreaking computational chemical and materials science at the forefront
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Requisition Id 14890 Overview: We are seeking a Postdoctoral Research Associate who will focus on applying computational methods in the areas of stimulus responsive separations and energy related
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computed tomography (XCT) imaging of a variety of specimen types including irradiated fuel samples, analyzing the generated 3D XCT datasets to identify and quantify features of interest, and interacting with
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related
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application development in R and Python Experience with parallel computing Author or co-author of peer-reviewed literature publications Applicants cannot have received their Ph.D. more than five years before
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specialized diagnostics, particularly for high dynamic range and high dimensional measurement of particle beam distributions. This project is motivated by the limitation presented by uncontrolled beam loss
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specialized diagnostics, particularly for high dynamic range and high dimensional measurement of particle beam distributions. This project is motivated by the limitation presented by uncontrolled beam loss
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) strategies, developing cutting-edge solutions in grid-edge integration and control. Our commitment revolves around seamlessly incorporating emerging distributed energy resources, including demand response
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at the intersection of quantum information science and fundamental materials physics. The research program focuses on understanding the fundamental limits of spin-based quantum sensors as probes of magnetic and