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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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, covering diagnostics and sensing, but also therapeutic and anti-inflammatory strategies. Engineering and optimizing hybrid nanomaterials, including plasmonic materials and hybrid systems, to enable advanced
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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