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-permanent staff (doctoral students, postdocs, associate researchers and interns). The ICS has characterization platforms (UV-Vis and IR spectroscopies, size exclusion chromatography, light scattering, etc
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' genomes model. This 'two-speed' genome model stipulates that the genome is composed of two compartments with different architecture, content and speed of evolution. The first compartment, composed of core
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complementary expertise, using both space and ground-based observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and
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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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turbulent plasmas and by phenomenological models. The overarching goal of this ambitious programme is to describe the acceleration process across length scales, in the turbulent flow, in the inner jet and in
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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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observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and propagation of solar jets from the solar atmosphere
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modelling or numerical simulations. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7342-MARBRA-012/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent
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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