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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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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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closely with LULI's exper-imental teams involved in the Taranis project. This thesis focuses on the theoretical and numerical study of parametric instabilities driv-en by broadband, low-temporal-coherence
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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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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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scattering in breast tissues Statistical analysis of various maps of sound velocity, fiber distribution, and absorption/scattering coefficients in relation to the results of biopsies, mammography, B-mode
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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project
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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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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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-Gobain and is hosted within the Saint-Gobain Innovation Hub Europe. The recruited person will report hierarchically to Hervé Montigaud. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR125