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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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data and applied to public datasets, e.g. Fermi-LAT and DESI. The two postdocs will be recruited simultaneously and will work as a team toward a single joint pipeline. Position 1 — LSS forward modelling
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, plasma polymer growth mechanisms, and the physicochemical properties of the resulting coatings, and for transferring the optimized conditions from model surfaces to magnetic nanoparticles. The main
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postdoctoral fellow will investigate the effects of novel immunotherapies in both in vitro and in vivo inflammatory models. They will contribute to antibody production and perform detailed structural and
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for Organoids, Liver, and Lab On-Chip' led by the industrial partner Fluigent and funded by BPI (Biotherapies and Bioproduction of Innovative Therapies programme), develop biological liver-on-a-chip models
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C Moutou. This project aims at modeling the magnetic topologies and accretion processes of pre-main sequence low-mass (T Tauri) stars, monitored with the SPIRou near-infrared spectropolarimeter
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predictive models of immune responses. Develop advanced and innovative machine learning methodologies and analyze data. The postdoctoral researcher will join the groups of T. Mora and A. Walczak, whose
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, the proteolytic mechanisms involved in dental pulp inflammation, particularly in various 2D/3D models. The postdoctoral researcher will produce bioactive protein fragments and characterise their roles in dental
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models, convective theories and the analysis of observations - Good knowledge of the state of the art in cloud feedbacks and cloud-climate interactions - Skills in the writing of scientific articles and in
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needed for wet-bulb temperature retrieval -Co-locating satellite data with ground-based HadISD stations -Running neural networks and finding the architecture best suited to a case study on India