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optimisation Experience in one or more of the following areas would be advantageous: EO or geospatial data analysis, parallel or distributed computing, GPU programming, Linux and containerised
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experience in nuclear, mechanical, or chemical engineering, engineering physics, or related field completed within the last 5 years. Experience with Python, C, and/or C++ applied programming
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benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high-performance interconnects (e.g., InfiniBand
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with the ARIA Safeguarded AI programme project “Data-Parallel Proof Checking for Monoidal Theories”, led by Professor Fabio Zanasi within the Programming Principles, Logic and Verification (PPLV
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learning techniques. Adapt computational pipelines for efficient execution on a high-performance computing (HPC) environment, including workflow automation and parallel computing. Apply these computational
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parallel applications, tools and data analysis software stack. • Maintain scientific, technical and professional currency through collaboration, practice, training, conferences, independent learning, and
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work independently as well as part of a collaborative team in a dynamic, fast-paced environment in which multiple active projects are running in parallel. Excellent communication skills and the
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with strategic management and strict adherence to security protocols. We are looking for candidates with extensive experience in either classified HPC data center operations, architecture, parallel
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | about 1 month ago
methods, parallel programming models, and hardware platforms when we apply them to the CFD problem of simulating the sloshing motion of a fluid within a moving tank. The purpose of these experiments
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specifically designed for use in multi platform (e.g. Windows and Linux) environments 6. Demonstrated, successful experience with parallel programming using languages such as OpenCL and/or CUDA 7