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of massive galaxies. A series of zoom-in cosmological simulations has been developed by the collaboration in order to understand the physical processes governing the extreme phases of early mass assembly in
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experiments on model aeronautical fuels to measure the products formed in this process and will develop analytical methods to monitor the kinetics. Main activities: - Bibliographic research, - experimental
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optimize deep learning models, trained for the reconstruction of events generated with this simulation framework and targeting their application on a distributed trigger system based on several processing
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=false , https://link.springer.com/article/10.1186/s13059-025-03692-6 , https://link.springer.com/article/10.1186/s13059-023-03064-y ), Linear Mixed Models and GWAS. ● Familiarize with the sequencing
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transmission electron microscopy. - Surface preparation and nanoparticles manipulation - in-situ Transmission Electron Microscopyy nanoindentations of HEA nanoparticles - Setting up an analysis procedure
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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence
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to explore systems in which light (near-infrared) and acoustic phonons (20–300 GHz) can be confined simultaneously. Numerical simulation and optimization of acoustic and optical resonators Design and
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Theory of Large-Scale Structure (EFTofLSS)—to include the effects of massive neutrinos and non-standard dark matter, validate theoretical predictions against simulated datasets, forecast expected
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on the propagation of social movements and other diffusion phenomena (epidemics, dissemination of opinions or false information). Develop modeling that may use epidemic propagation or reaction-diffusion models, or any
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/simulation programming - characterisation of various samples - supervising student (intership, PhD candidate) - writing articles - taking part in conferences This work will take place at ISMO within