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to monitoring scientific progress and defining short-term objectives. More informal discussions will also take place as needed, particularly during intensive phases of numerical development or data analysis
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significant impact, both on the flow and on the reflection of acoustic waves at the ground. Predicting wind turbine noise therefore relies on numerical simulations. Numerous numerical methods have been
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Experience with: Structured population models, Multiscale modelling, Numerical analysis of PDEs, Machine learning for parameter inference, Model calibration and sensitivity analysis. Familiarity with systems
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well as a deeper understanding of how polymer chemistry and structure affect recycling efficiency. However, enzymatic recycling still faces numerous challenges at the interface of polymer physico-chemistry
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] (AI-assisted Simulations of Microstructure driven MEchanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
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AMMETIS[1] (AI-assisted Simulations of Microstructure driven MEchanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
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part of this project, the thesis will focus, on the one hand, on a detailed analysis of gas phase inhibition kinetics by combining experimental and numerical studies to determine global parameters (auto
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two main parts: • numerical modeling of crustal stresses associated with the various proposed mechanisms; • statistical analysis of the impact of these stresses on faults, potentially active or not, and
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Host institution: NIMH Unit, Inserm-EPHE-Université de Caen Normandie U1077 (https://nimh.unicaen.fr/fr/accueil/ ) Supervision: Dr Peggy Quinette, Associate Professor in Psychology, Université de Caen
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a large scale. This research project aims to better understand these cumulative effects in the eastern English Channel and the southern North Sea, where numerous existing, recent and planned wind