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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
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and solid-state qubits, as a foundation for distributed quantum computing. You will help build and operate two experimental platforms, laser-cooled neutral atoms and rare-earth-ion-doped crystals, and
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: Advanced Research & Automation Platform Engineering Leadership: Serve as the focal point for Central Research Services to the Office of Research and Compute, and the Distributed GMU Research community
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to: cybersecurity, artificial intelligence, systems (including embedded, distributed, parallel, and high-performance), software engineering, cloud/edge computing and databases. Successful candidates will be expected
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works together to provide cohesive digital experiences and seamless support to the U-M community. Job Summary The Advanced Research Computing (ARC) organization has an exciting opportunity to employ a
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, and on-call rules. Develop and execute comprehensive UKG testing strategies, including system, integration, regression, edge-case, and parallel payroll testing. Own parallel payroll runs, converted data
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skills. Submit both a cover letter and resume as one file. Competitive salary available based on qualifications, experience, and education of the selected candidate. The Advanced Research Computing (ARC
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distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute to cutting-edge research aimed at transforming scientific data management and
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consultants develop and deliver HPC training programs and software distributions. As a core service facility, CAC provides high-performance computing and cloud computing services configured with a variety of
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computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required) 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage