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disease models. The project offers training at the crossroads of protein engineering, structural biology, and cancer biology, and will provide the candidate with a strong interdisciplinary skill set that is
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chemistry, materials science or equivalent having carried out research in an experimental field related to the thesis. Core competencies: crystal growth thermodynamic modeling chemical and physical
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metabolism in type I interferonopathies within tissues. Using mouse models of these diseases, we will analyze how metabolic alterations contribute to inflammation and tissue damage. We will generate lipidomic
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of electrical topologies (AC, DC, three-phase) and will integrate both standard and atypical wear cases. On this basis, high-performance artificial intelligence models will be developed. By combining neural
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particles - in promoting inflammation and fibrosis, and work to identify specific biomarkers of exposure and associated risks in human and mouse models. Develop and evaluate therapeutic strategies to target
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funded by the French National Research Agency (ANR) and involves five partners: the BSC – UMR7242 laboratory, the IGBMC (UMR7104) and TBI (INSA Toulouse) for molecular modeling, as well as the LSMIS
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, transportation, and energy. Our work generally focuses on behavior modeling, instrumentation, and the study of the durability of the structures or products in question. A significant part of our research focuses
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innovative porous solid nanoparticles capable of capturing and degrading model toxic agents of the NRBC type. The properties of these materials ensure (i) shaping efficiency (deposition on the fibre), (ii
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specializes in computer science and, more broadly, in information and communication sciences and technologies (ICST). Its research activities are organized around several major axes: the modeling and
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also collaborate with the “Cognition Perception Usages” team at LISN, led by Jean-Claude MARTIN, who specialises in psychological theories and models of motivation, personality, and social interactions