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expertise in HCI and education, including adaptive gamification, engagement, learning analysis, and the design of motivational affordances in education. As part of the project, the PhD student will work with
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interdisciplinary knowledge and skills, such as modelling and artificial intelligence, advanced electrochemical analysis techniques, characterization, and materials synthesis. They will become part of a very strong
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thermodynamic analysis of chemical reactions. The PhD will be supervised by Sébastien Leveneur (HDR) and carried out within the framework of the ANR QUANTASTIC project, in close interaction with partners in
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with Re/oxide systems. This subject involves the preparation (impregnation, precipitation, etc.) and advanced characterisation (IR, Raman, XAS, TEM, etc.) of metal/oxide catalysts for the synthesis
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species (organic radicals, transition-metal ions, etc.). Transient radical species can be trapped using nitroxides (spin trapping) or detected through the rapid-scan mode, which enables the acquisition
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to populations and infrastructure. While heavy rainfall is well recognized as a triggering factor, recent studies have revealed the importance of snow cover and, in particular, rapid melting dynamics in
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collaboration (neuroscience, artificial intelligence, cognitive psychology) and aims to develop a novel theory of auditory scene analysis in the brain and in machines. In Marseille, the group focuses
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sequences. Development the analysis method and algorithm. 12 to 24 months: Photothermal, photoacoustic and hotspot characterization of several nanoagents with a significantly different hotspot effect
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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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based measurements to quantify frictional drag and wall shear stress. The project offers hands-on experience with state-of-the-art experimental facilities and provides training in data analysis