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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
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(materials, scenarios) - Translation of local knowledge into simulation rules - Facilitation or co-facilitation of model testing sessions - Collection of feedback for prototype iterations. Analysis and
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controlled group experimental tasks. The candidate will participate in the design, implementation, and analysis of behavioral experiments combined with non-invasive neuroimaging measurements, with
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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
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actively contribute to the ATLAS experiment at CERN. The research will focus on the analysis of the LHC Run 2 and Run 3 datasets, with prospects for extending the studies to the High-Luminosity LHC (HL-LHC
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of the evolution of faults affecting physical components, sensors, and measurement and communication systems. • Analysis of intentional and unintentional events that may produce similar signatures. • Robustness
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old. The PhD will be supervised by Thibaut Louis, co-lead of the data analysis for the Simons Observatory Large Aperture Telescope, and co-supervised by Léo Vacher, co-lead of the characterization
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, and quantitative image analysis tools. Microplastics have become ubiquitous environmental contaminants and are increasingly accumulating in living organisms. Their interactions with immune cells raise