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. The team specializes in multi-sensor methods, tensor decompositions and component analysis for the joint processing of multimodal data, notably in the context of invasive (intracardiac electrograms) and non
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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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microbiome, and their specialized metabolites. To address this question, the project will develop an integrative approach combining chemical ecology, microbiome analysis, multimodal metabolomics, and
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irradiation, - compare different experimental modalities (types of nanoparticles, irradiation conditions, cell lines), - develop and adapt existing analysis tools, - establish correlations between dynamic
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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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Analysis and Architecture (LAAS) within the MechaBioFluidics team, which has extensive expertise in microfluidics and microfabrication (a technology platform of the national ReNaTech network), both located
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processing and statistical analysis. The PhD thesis will be supervised by two supervisors, Corentin Louis (Chargé de Recherche CNRS, Observatoire de Paris) and Baptiste Cecconi (Astronome, Observatoire de
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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