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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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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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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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. 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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using this module in the model bacterium Escherichia coli. Redox titration approaches coupled with EPR (Electron Paramagnetic Resonance) spectroscopy techniques will be used to stabilize and study the
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modelling, both assisted by AI. The PhD candidate will have access to state-of-the-art research facilities and computational resources. He will be offered the opportunity to participate in in international
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this, the CHAIN-H2 project will combine experimental and numerical studies covering small-scale kinetics through to modelling of the larger-scale characteristics of flame inhibition (flame propagation in a cloud of
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therapeutic education of patients and to support them in behavioural changes (nutrition, physical activity, etc.) related to their condition. The developed hybrid environment must notably: 1) Model and make
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. To test this hypothesis, the candidate will apply methods that include magnetoencephalography (MEG), brain stimulation, neurofeedback, and computational modelling. The project includes a collaboration with