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-structure polymers, specifically designed for enzymatic degradation. The project will involve polymer synthesis, enzyme production and modeling, the advanced analysis of degradation products and the thorough
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engineering models for large-scale quantum computers. The aim is for this thesis to develop fundamental expertise in quantum physics and computing, and then share it with other teams in the Q-loop project, so
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of artificial surfaces, built-up area, etc.), with land values in order to then examine the empirical relevance of models from urban economics, which explain residential location choices as a compromise between
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stimulated luminescence (OSL) dating of sediments and rocks, palaeoseismology, megaliths, Bayesian chronological modelling, archaeoseismicity, stable continental regions (SCR), Armorican Massif. Context and
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technologies. The project employs an interdisciplinary approach based on collaboration among specialists in text and image analysis, natural language processing, large language models, vision-language models
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thermodynamic cycles by combining two complementary approaches: - Generative models derived from artificial intelligence, capable of proposing new process architectures; - Superstructure-based optimization
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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stochastic modeling, Bayesian inference, data fusion and modern machine learning. Its research activities span various application domains such as security, non-destructive testing, infrared imaging and
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. The main objective of the PhD project is to study the impact of auroral particle precipitation on Jupiter's atmospheric composition. The work will involve modeling the abundances of key chemical species in
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) molecular modeling would be an asset but is not required. The PhD candidate will join the Condensed Matter and Electroactive Systems team, specifically the group led by Cyril Poriel. The PhD will be