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Ricerche within the project “EYA - Energy–hYdrogen Adaptive Optimizer” (CUP G49J26000320004) and the Italian Ministry of Enterprises and Made in Italy (MIMIT), within the the project “Smart Scouting – LIA2S
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flexible ecological modelling tools to help EU authorities design and optimize effective nature restoration plans. The postdoc will model species distribution at fine scale using advanced Species
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, chemists, chemists and engineers collaborate, each with their expertise, to carry out a scientific activity with a shared research goal. The “Advanced characterizations and optimized functional materials
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of semiconductor and perovskite nanoparticles, whose chemical composition, shape, size and surface chemistry will be engineered in order to: a) optimize their optical properties with respect to their ability
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well as to investigate protein–ligand interaction properties; performing protein crystallization and crystal optimization using the robotic facility available in the Structural Biology Laboratory; providing samples and
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research on the following topics:1) Implantable diagnostic, therapeutic, and replacement devices at different scales, equipped with innovative actuation and sensing mechanisms; 2) Wireless control
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initiation latency, movement speed, gait characteristics, postural control, motor variability, and other behavioural descriptors. ESSENTIAL REQUIREMENT PhD in machine learning, artificial intelligence
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position with a source equivalent to the previous one. The control system, the acquisition strategy and the infrastructure for solid-gas interaction experiments will be upgraded, allowing for further
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characterization tools. Expertise in integration of nanocrystals in devices. Strong publication record Good command of spoken and written English ADDITIONAL SKILLS Good communication skills Strong problem-solving