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Field
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-day reliability and long-term evolution of clustered compute, GPU resources, high-performance storage, and the scheduler/tooling that support research at scale. Drives a culture of operational
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, virtualisation technologies and performance optimisation. Hardware acceleration technologies and modern compute architectures, including GPUs and high-performance networking technologies. Programming and scripting
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of Texas (a defined benefit retirement plan) Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending account options for medical
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. Contribute to software solutions by establishing project-specific best practices, including version control, continuous integration and delivery, software design, and programming models. Ensure long-term
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
. Two years of experience using shared HPC resources and experience assisting or training others. (Experience may include time while doing graduate studies.) Experience with GPU programming for scientific
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- 21:59 (UTC) Country Sweden Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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fields Knowledge of HPC and very good programming skills in C++ Experience with GPU programming and data-intensive workloads is an advantage Very good command of English Knowledge of German is an advantage
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programming skills in Python, MATLAB, C++, or similar scientific computing environments, including high-performance and GPU computing. A strong scientific track record, evidenced by high-quality publications
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 2 months ago
the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Head of IT Infrastructure & Scientific
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support the operation and development of the Institute’s Linux-based compute infrastructure, including CPU and GPU clusters, storage systems, data centre hardware, networking interfaces, software