380 parallel-and-distributed-computing "CERN" positions at Oak Ridge National Laboratory
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in ORNL’s Center for Radiation Protection Knowledge (CRPK). The candidate will work with experts in computational radiation dosimetry and risk assessment. The candidate should be an independent thinker
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challenges facing the nation. The National Security Science Directorate, NSSD, Defense Manufacturing Program Office (DMPO) leads a large portfolio of applied research and development programs centered around
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Requisition Id 16684 Overview: Oak Ridge National Laboratory (ORNL) is seeking a dynamic, highly skilled Insider Threat Program Lead to oversee the day-to-day execution of ORNL’s Insider Threat
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weatherization programs through applied research, technical assistance, technology deployment, and program evaluation. The team’s comprehensive knowledge of residential buildings and weatherization programs spans
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of the group. Strong knowledge of performance modeling, simulation, and benchmarking of parallel and distributed computing systems and of the workflow systems that run on them. Familiarity with the FAIR data and
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key findings in peer-reviewed journals in a timely manner. Collaborate within a multi-disciplinary research environment consisting of computational scientists, experimentalists, and engineers conducting
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Requisition Id 16528 Overview: The Engineering Management Division (EMD) at the Oak Ridge National Laboratory (ORNL) seeks to hire a Design and Program engineer to support implementation of design
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management, parallel computing, and performance optimization while helping evaluate and introduce emerging technologies that advance mission capabilities. You will work alongside a multidisciplinary team of
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Requisition Id 16686 Overview: Oak Ridge National Laboratory (ORNL) is seeking a Project Management Associate to support the Defense Manufacturing Program Office (DMPO) within the National Security
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background in one or more of the following areas: computer architecture, high-performance computing, quantum computing systems, distributed and heterogeneous computing, runtime systems, or performance modeling