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representation language. The thesis will particularly investigate approaches based on attributed graphs to model infrastructures, their topological relationships, inspection-derived observations, and the levels
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, and computational biology. The project includes collaborations with academic partners specialized in probabilistic modeling and experimental biophysics, notably through interactions with research groups
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conditions contributing to the emergence of this counter-model, based on a prosopographical framework analyzing the athletic, economic, and institutional profiles of the actors. Complementing the attention
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at the Laboratory for Biometry and Evolutionary Biology (LBBE) in Lyon, France (https://lbbe.univ-lyon1.fr/en ). The LBBE comprises approximately 200 people; the research conducted there is based on three pillars: (i
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Processes (https://simap.grenoble-inp.fr ) - is a multidisciplinary laboratory with more than 200 participants from chemistry, physics, materials and fluid mechanics. It is one of the leading laboratories in
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and the various components of the tumour microenvironment. The research will primarily be conducted using patient-derived glioblastoma models and will combine approaches from cell and molecular biology
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involve selecting various event topologies to constrain background and perform detailed study of double-beta decays. GEANT4-based simulations will be used with the software FALAISE developed by SuperNEMO
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. This thesis aims to model, optimize, and experimentally validate such an optical ultrasound sensor based on resonant metasurfaces. The work will focus on three main areas: 1. Multi-physics Modeling: Development
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on which the model is based. The benefits of the proposed methodology will be evaluated through both idealized test cases and realistic simulations, with results compared against available observations
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interested in comparing healthcare systems based on the results of modeling past epidemics (especially chikungunya in 2025). Indeed, we have obtained surprising preliminary results for Mayotte, with a very low