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]. By combining simulations and experiments, comprehensive analysis of the process will be achieved and guidelines for optimization will be proposed. The analysis could then be extended to broader range
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staff members (researchers, engineers, PhD students) and operates several major experimental facilities: LULI2000, Apollon, HERA, XCAN. The PhD student will join LULI's theory team (TIPS) and will work
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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numbers effects beyond what is currently possible. • Perform mathematical and numerical analysis of tensor network methods. • Work on GPU implementation of tensor network solvers. • Disseminate research
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staff of around 120, including 66 permanent staff. It has a strong experimental component, with numerous prototype set-ups supported by both standard equipment and high-tech instrumentation
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processing and statistical analysis. The PhD thesis will be supervised by two supervisors, Corentin Louis (Chargé de Recherche CNRS, Observatoire de Paris) and Baptiste Cecconi (Astronome, Observatoire de
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), and the PhD student will be involved in several collaborative projects. During the second year of the thesis project, the work will be carried out in close collaboration with our colleagues
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intervention to prevent diaphragm atrophy: longitudinal analysis via MRI Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8263-ISAVIV-007/Default.aspx Requirements Research FieldBiological
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candidate will be responsible for the analysis of high-resolution numerical simulations. She/he will focus on constructing turbulent kinetic energy budgets to quantify the physical processes underlying
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the CIFRE PhD student will be highly appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR125-HERMON-004/Default.aspx Work Location(s) Number of offers available1Company