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channels for LWFA. - Run and combine plasma simulation codes on national HPC platforms. - Develop multi-physics workflows by coupling different simulation tools. - Analyze and interpret simulation results
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experience with scientific computing environments (Linux, HPC clusters) are wellcome. Background knowledge in adsorption phenomena, catalysis, or corrosion science is a plus, along with good communication
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institute is approximately one hour's drive from both the Pyrenees mountains and the Atlantic Ocean. You will work in an office within the CAPT team, with a provided computer and high-speed access to HPC
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with in-depth knowledge of parallel programming (GPU, multi-threading, etc.). - Familiarity with standard collaborative development tools: Git, GitHub, CMake, Guix-HPC, Spack, GTest, CTest, etc
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energy efficiency during the training process and (ii) science yield (sensitivity / resolution) during inference. A key aspect is to benefit from hybrid HPC + AI approaches within the workflows
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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience
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inference, experience using HPCs, master student supervision experience, github. Also would be an advantage: experience working with clinical scientists, understanding of ALS physiopathology, decent level of