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of experience in job offered or in a related occupation. Position requires: 1. Linux system administration experience in a large distributed computing environment; 2. Providing systems and end-user support for
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. The department’s 26 tenured/tenure-track faculty conduct state-of-the-art research in topics including artificial intelligence, cybersecurity, distributed systems, and parallel and scientific computing, and engage
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parallel distribution strategy. Coordinate and manage Supply Chain related special projects with other stakeholders. This job requires an intricate attention to detail, focused & disciplined productivity
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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the development of both, the quantum internet and distributed quantum computing. The objectives of this PhD thesis project are: (a) Demonstrate spin-photon entanglement with single colour centres in silicon carbide
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
-reviewed publications in relevant fields Strong problem-solving skills and the ability to work in a collaborative environment. Preferred Qualifications, Competencies, and Experience Distributed parallel
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PhD Scholarship for a Design-Led Research Program on the Future of CT Imaging in Distributed Care Job No: 680923 Location: Caulfield campus Employment Type: Full-time Duration: 3-year fixed-term
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the emergence of edge computing, data storage will become more geo-distributed to account for performance or regulatory constraints. One challenge is to maintain an up-to-date view of available content in such a
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) and/or cloud computing and/or similar areas of computing. Experience working with researchers/scholars. Experience and proficiency with storage systems, especially parallel and/or distributed storage
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You will be working in a larger research and development project in parallel, distributed and heterogeneous computing. The project work can, under certain circumstances, be combined with an internal