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& Technology and Systems & Networking. The Parallel Computing Systems (PCS) group at the University of Amsterdam performs research on the design, programming and run-time management of parallel and distributed
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skills. Excellent planning and organizational skills. Sound decision making skills. Working knowledge of personal computers. High level of independent thinking. Preferred Qualifications: Extensive customer
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of interpretability methods to ensure ML outputs are meaningful in scientific contexts. Preferred: Background in biomedical data, healthcare, or AI for life sciences. Experience with parallel computing. Familiarity
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 16 days ago
of the compute resource needs of scientific computing applications, particularly large-scale parallel applications. A high level of understanding of and experience in IT security in Unix/Linux environments
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8 Nov 2025 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile First
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Information Tax-exempt Fellowship Job Status Full-time Hours Per Week 45 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to
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with high-performance computing (HPC), parallel computational fluid dynamic simulations can currently resolve spatial and temporal scales of industrially-relevant turbulent flows within days/weeks
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State University of New York University at Albany | Albany, New York | United States | about 7 hours ago
vibration isolation). In parallel to the benefits of quantum computing, artificial intelligence and neuromorphic computing seek to emulate the massively parallel, highly efficient computing capacity
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expertise in high-performance computing (HPC), parallel computing frameworks (such as MPI, OpenMP) and GPU acceleration. Proven experience administering, configuring, and optimising HPC clusters and GPU
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The Advanced Research Computing at Hopkins (ARCH) group is seeking a highly qualified and motivated HPC Systems Engineer to join the systems team. This system (ROCKFISH), with over 45,000 cores and