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Field
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and maximize model performance and generalizability. Optimize data processing and retrieval workflows to minimize latency and maximize throughput, leveraging parallel processing, caching, and other
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evening and weekend hours in a part-time capacity. Launched as part of UVA’s 2030 Great and Good Strategic Plan, the mission of UVA | Northern Virginia is to connect Grounds in Charlottesville with Northern
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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Workflows: Collaborate with computational scientists to optimize parallel computing workflows and port research tools to high-end computing platforms. Automate Developer Workflows: Design tools and frameworks
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equivalent combination of education and work experience). EXPERIENCE: 2+ years of experience in GPU computing, with a focus on performance optimization and parallel programming. Proficiency in GPU programming
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assistants (RAs) to support our efforts over the summer. RAs will write software, design algorithms, research new mathematical derivations, and design course materials and both programming and mathematical
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computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage, investigation, and dissemination
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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
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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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to hire research assistants (RAs) to support our efforts over the summer. RAs will write software, design algorithms, research new mathematical derivations, and design course materials and both programming