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control theory Knowledge of machine learning or optimization methods is a plus Proficiency in programming (Python, Matlab, C++, or similar) Strong interest in cutting-edge research on 6G and autonomous
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. The project will involve the optimization of an experimental workflow, combining in vitro screenings, ex vivo tetramers staining, single-cell RNA sequencing and T cell receptor sequencing, to detect and
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for the CERIC-ERIC project “LEMIS” aiming to adopt and improve existing Ion Beam Analysis (IBA) techniques for their optimal use in the analysis of materials of importance to energy storage. The successful
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inks, based on nanostructured and/or bidimensional materials. The research will investigate different formulations and preparation methods to optimize electrical and mechanical properties under various
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from various sources. (ii) Fabrication of bi-functional membrane coatings through dip coating from combustion sol. (iii) Optimization of the coatings’ chemical composition for a better adhesion of the
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Project in EU: DC 1: a-SiC deposition by Hot Wire Chemical Vapor Deposition (HWCVD) - Host institution: CNRS (FR) DC 2: Optimization of a-SiC thin films for photonic applications - Host institution: CNRS