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                . This debinding step is critical for the quality of the CMC, which is why it must be finely controlled to avoid any cracking or deformation of the final part. The CMC components thus obtained are almost 
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                processes—to precisely control the composition, size, and distribution of these nanocatalysts. These materials, with their exceptional properties, are designed to accelerate CO₂ methanation, a critical 
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                the AmMoAn project led by Ulrich von Grafenstein. The objective of the project is to reconstruct, at high temporal resolution, the climatic variability over the past 20,000 years in Europe by isotopic analysis 
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                , bioenergetic, ecosystem and/or habitability modelling, strong mathematical skills and programming experience, and experience with analysis of observational and/or model-derived datasets. The CDD is offered for 2 
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                involving organolithium compounds, - Study of the recyclability of the catalytic materials, - Analysis and interpretation of results, - Writing of reports and publications, - Communication of results in 
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                and process behavioral and electrophysiological data • Model behavior based on diffusion models and make explicit link with neurophysiological data • Conduct detailled statistical analysis • Write 
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                membrane proteins - Cryogenic electron microscopy (cryoEM) - Analysis, formatting, and presentation of results - Oral presentations in English The project will be carried out under the supervision of Estelle 
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                regeneration and/or axonal trafficking • Hands-on experience in cell culture, microscopy and/or image analysis • Strong team spirit, along with the ability to work independently and manage time and resources 
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                to fit Ca profiles in olivine and calculate associated cooling rates, 2/ an analysis of uncertainty propagation for these models, and 3/ a global unified database of existing data that could be used 
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                of experimental statistics, signal processing and excellent programming skills (eg Python, R, ...). Previous experience with model-based fMRI experiments, advanced multivariate data analysis and computational