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for Systems Analysis and Architecture (LAAS) within the MechaBioFluidics team, which has extensive expertise in microfluidics and microfabrication (a technology platform of the national ReNaTech network), in
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hemicelluloses. Hemicelluloses constitute the second most important component in vegetal biomass, as they represent from 20 to 30% in mass of wood and annual plants. Hemicelluloses are complex polysaccharides
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quality and hinder quantitative image analysis, even when serial sectioning approaches are employed. To address this limitation, an initial strategy will consist of homogenizing the refractive index
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of the current situation and risks, we also plan to examine the following two points in detail: A comparative analysis with Réunion Island, which has experienced similar crises in recent years. We are particularly
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bioinformatic/biostatistical analysis (CNRS UMR8265, NeuroSU - IBPS - SU). It will benefit from a collaboration with O. Saulnier (0000-0003-4111-1017) a team leader at Curie Institute with expertise in
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activity component. At the interface between environmental radiochemistry, soil geochemistry and microbial ecology, this research will contribute to improving our understanding of the mechanisms controlling
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developments and quantitative image analysis, with the support of C. Lagadec (CANTHER) in cancer biology. Experimental work will be carried out at PhLAM, while the theoretical developments will be conducted
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characterized by strong electronic correlations; these systems exhibit remarkable properties and unconventional electronic states, such as superconductivity, magnetism, metal-insulator transitions, and more. The
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analysis, based on particle-in-cell (PIC) simulations, in order to (1) compare the effect of different types of broadband sources on the growth and saturation of three-wave coupling instabilities (Raman and
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electrochemical characterization; • Analysis of dissolved macropollutants and micropollutants, as well as gases; • Multiphysics modeling and data analysis; • Integration of water-energy processes. The research will