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Field
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of finite element simulations methods. Experience using parallel Linux computing platforms, parallel job submission scripts, common software repository tools (e.g., GitHub), and parallel visualization
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empirical evidence. The project runs for 33 months and comprises three research components operating in parallel, each led by a postdoctoral researcher and integrated through monthly team meetings and
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Model. In parallel, the group is engaged in hardware activities related to the development and implementation of new FPGA-based trigger processors, both for the operation of the ATLAS muon spectrometer
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common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel programming with one or more common parallel programming models, like MPI
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and plasmonic nanoparticles. You will contribute to both technical development and fundamental research. This may include improving parallelized optical detection, integrating optical tweezers with
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restricted access regimes – ZRR – as defined in Article R413‑5‑1 of the French Penal Code, or to sensitive units) may have consequences: on the timeframe for establishing the contract, due to parallel
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atmospheric models on clusters and supercomputers. Experience with code parallelization, MPI (Message Passing Interface), and performance optimization for large-scale simulations using models such as WRF-Chem
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and scientific computing. High-performance computing, parallel computing, or large-scale simulation. Software engineering practices, version control, and automated testing. EMT simulation, power system
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/filmmakers… The recruited postdoctoral researcher will be expected to contribute to the programming of these seminars, to their animation, and to the documentation (including through parallel interviews
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systematically with several stakeholders and parallel activities. The following experience is particularly advantageous: Implementation research and use of established frameworks, particularly PRISM and/or RE-AIM