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for relevant separations such as CO₂/N₂ or CO₂/H₂. The thermodynamic study may be complemented by adsorption microcalorimetry measurements. Molecular modeling will be used to interpret experimental results
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study the transformation of initially spherical liquid droplets under the effect of radiation stresses, or “radiation pressure,” from ultrasonic waves (MHz) using both theoretical and numerical models
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will focus on two target systems: Natural media: Study the propagation of slow waves in model soft media (hydrogels and suspensions) and their interaction with a target, with a focus on the generated
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IMT Atlantique, ULCO and Université de Rouen. In particular, the design of the models will be guided by results of the analysis of Wikipedia data obtained by other teams, and discussions with a
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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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aspects of Computer Science (models, languages, methodologies, algorithms) and address conceptual, technological, and societal challenges. The 22 research teams in LIG aim to increase diversity and dynamism
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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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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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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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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The