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Field
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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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] (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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interface of hydrology and geophysics, to gain extensive experience in field experiments, data analysis, numerical modeling, and scientific programming, and to contribute to fundamental advances in
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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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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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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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literature review on flares and prodromal symptoms; (2) Complete analysis of survey data from >3000 patients to investigate patterns and progressions of flare symptoms; (3) Co-design (with patients and
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the FaSiRé project who will be working on geomorphological and seismotectonic analysis, as well as numerical modelling of the conditions of megalith and PBR falls. There will be numerous collaborations and
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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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) - Signal processing and image analysis (Python) - Oral presentation of scientific results at meetings and international conferences. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295