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distributed computing for EMT simulations. • Experience with software development in Python, C++, or other programming languages. • Familiarity with GPU acceleration of numerical solvers, parallel sparse
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on hardware which may include CPUs, GPUs and FPGAs. In particular we are interested in applicants who have experience of modern coding practices and software techniques. The post-holder will work with Prof. Ben
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(R3) Country Morocco Application Deadline 19 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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. Knowledge of Python programming language. Preferred Qualifications: Experience with object-oriented programming languages (especially C++), version control system (Git) and software development practices
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projects to the Tier 2 supercomputer Bede (32 IBM Power 9 dual-CPU nodes, each with 4 NVIDIA V100 GPUs and high performance interconnect). The Bourne-Worster group is also well-provisioned with
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Facility computing infrastructure supports the diverse needs of over 2,500 researchers in the six UC Davis colleges and schools, totaling some 48,000 CPUs, over 200 GPU nodes, and dozens of petabytes in user
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 28 days ago
hold a PhD or equivalent degree in the above mentioned or related fields. What we offer State of the art on-site high performance/GPU compute facilities A team of 30+ expert colleagues A family friendly
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Programme? Not funded by a EU programme Reference Number B-0093-25 Is the Job related to staff position within a Research Infrastructure? No Offer Description Important note: This is a summarized English
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infrastructure supports the diverse needs of over 2,500 researchers in the six UC Davis colleges and schools, totaling some 48,000 CPUs, over 200 GPU nodes, and dozens of petabytes in user data storage. Each
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likely to be required include advanced Python or c++ with experience in developing and fine-tuning foundation models for modelling tasks, including use of HPC systems and multi-GPU programming. Knowledge