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the aim of reestablishing U.S. prominence in semiconductor manufacturing. With over $1 billion in funding from the US DoD and the state of Texas, we’re at the forefront of creating cutting-edge
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Requisition Id 14933 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges
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, successful experience with parallel programming using languages such as OpenCL and/or CUDA 7. Demonstrated, successful experience with source code version control systems such as Git, Subversion, or similar 8
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) environments 6. Demonstrated, successful experience with parallel programming using languages such as OpenCL and/or CUDA 7. Demonstrated, successful experience with source code version control systems such as
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Associate Scientist or Lead Researcher - (Protein Engineering and Design, Genome Editing, Biotechnol
, and fun group of scientists at St. Jude Children's Research Hospital. Our research program centers on dethe development of state-of-the-art genomic methods for understanding the global activities
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Software development to advance and adapt modeling tools for use on novel systems and novel applications Develop and maintain business relationships and programs with other ARL offices, industry, and the U.S
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Community Network in Orange and Los Angeles counties and ambulatory care centers across the region. Listed among America's Best Hospitals by U.S. News & World Report for 23 consecutive years, UCI Medical
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Computing (HPC) knowledge around cluster builds, software, parallel computing, workload management, and cluster management. Knowledge with CUDA Programming Workflows, GPU programming, and GPU support
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designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science
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design, pair programming, code reviews, etc. The code should take advantage of parallel processing to run efficiently. We expect that the run time will be reduced over time as (s)he improves the parallel