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- l'institut du thorax, INSERM, CNRS, Nantes Université
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are looking for highly talented developers with experience and interest in state-of-the-art technologies, high performance computing (HPC), memory management, and dev-ops. You will enjoy being part of a world
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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 | 13 days 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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motivated with strong written and oral communication skills. Preferred Qualifications: Experience with first-principles calculations, DFT, Machine Learning, HPC. The individual is expected to actively pursue
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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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Postdoctoral Position (f/m/d) | Spectro-Microscopy Studies of Complex Processes in Thermal Catalysis
(4) fast acquisition of the full field image (higher than video rate). Furthermore, the group operates a pure LEEM/PEEM microscope which is equipped with a high-pressure cell (HPC) to quasi in situ
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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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barotropic/baroclinic ocean processes, tides, storm surge, and coastal inundation. Proficiency in scientific programming (Fortran/C/C++), Python-based analysis, version control (Git), and working in Linux/HPC
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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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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