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- l'institut du thorax, INSERM, CNRS, Nantes Université
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interfaces. Programming and HPC: Strong scripting and data analysis skills; experience with high-performance computing environments and job schedulers. Demonstrated ability to work in multidisciplinary teams
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | about 1 month ago
Devices" ). • Bring various improvements on the synthetic model (vasculature shape / aneurysm / background noise modelling) • Numerical simulations will be performed on a GPU HPC cluster. • Programming in
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HPC, bwHPC cloud, secure pipelines). Design cross-site preprocessing and harmonization pipelines for multi-omics and functional drug screening data. Collaborate closely with European partners
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exceed 15% of gross income. Access to state-of-the-art facilities and resources, including group-owned HPC clusters with PB-scale storage. Opportunities for professional development and international
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on an HPC system or in the commercial computing cloud For further information about this position please contact nternette001@dundee.ac.uk . To find out more about the Group please visit https
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at the Argonne campus in Lemont, Illinois, five days per week. Preferred qualifications: Experience with MOOSE. Experience with PyTorch. Experience with HPC job scheduling systems. Job Family Postdoctoral Job
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dynamics simulations, and some familiarity with quantum mechanics calculations. Proven high-performance computing (HPC) experience and proficiency in Python are essential for success in this role. You will
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., DAS, broadband networks). Proficiency in open-source, version-controlled environments (Python, git, conda). Comfort with cloud/HPC workflows in a Unix-based environment. Preferred Qualifications
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tracking), dataset curation, HPC/GPU programming, blockchain for secure data, C-family languages, and embodied AI/robotics are a plus. Experience with general network resilience, cellular automata
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expertise in key machine & deep learning frameworks and toolsets. Experience in GPU computing, HPC, Containers & Image processing tools would be appreciated. A strong track record of publications in high