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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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taxonomy of future launchers, and creation of a structured database Modelling and simulation of the most promising rocket engine architectures from a thermodynamic standpoint Numerical and experimental
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in research in numerous disciplines and designated to the role of keeping the Autonomous Province of Trento in the mainstream of European and international research. Each research area is assigned to a
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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