378 parallel-and-distributed-computing "Computer Vision Center" positions at Oak Ridge National Laboratory
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Geospatial Data & Computing Center to support ORNL’s geospatial high-performance computing (HPC) research portfolio within the Geospatial Science and Human Security Division. ORNL is the nation’s
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workflows, including parallel and distributed applications, data-intensive pipelines, and accelerator-enabled workloads. Work closely with system administrators, infrastructure engineers, and researchers
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, the first supercomputer to break the exascale barrier and Orion, a 700 petabytes Lustre parallel file system. As an important part of the broader High-Performance Computing (HPC) infrastructure, the
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in adversarial contexts to detect vulnerabilities or weaknesses. Scalability and Cluster Computing Design distributed systems that support high-throughput simulations and stress-testing of AI systems
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in adversarial contexts to detect vulnerabilities or weaknesses. Scalability and Cluster Computing Design distributed systems that support high-throughput simulations and stress-testing of AI systems
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with strategic management and strict adherence to security protocols. We are looking for candidates with extensive experience in either classified HPC data center operations, architecture, parallel
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research environment consisting of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing. Author peer reviewed papers
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adversarial contexts to detect vulnerabilities or weaknesses. Scalability and Cluster Computing Design distributed systems that support high-throughput simulations and stress-testing of AI systems under
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in the National Center for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of
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, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to