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Field
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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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, 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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for advanced statistical and time-series analyses. They will analyse behavioral, EEG and eye-tracking data collected during prolonged experimental sessions. The research will focus on the modelling and
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fully understand the methods and the models (MILP, SAT or CP), develop models dedicated to other block ciphers or integrate the new models into a dedicated tool such as TAGADA, CLAASP or another tool
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the equipment, including the annual budget and the personal computer provided by the MARBEC laboratory for modelling and mapping work. - main mission: The researcher’s main role will be to model and integrate
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use numerical models to interpret and predict mechanical behavior. - Carry out a cross-analysis of experimental, microstructural, and numerical results. - Disseminate scientific results (publications
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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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establish alternative experimental models to animal testing (NAM). The work will be carried out on the INGESYSBIO meta-platform: Engineering of native or reconstructed biological systems (https://bmbi.utc.fr
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responsibility. 3) Scientific analysis and interpretation: - Develop advanced analysis methods to quantify bedload transport: full responsibility. - Interpret results and propose explanatory models: primary
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with other partners involved in the MAESTRO/ORCESTRA field campaign and the MAESTRO team. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8539-ISARIC-129/Default.aspx Requirements Research