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Field
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expertise, the work may involve wireless communications, multi-robot coordination, trajectory planning, artificial intelligence, optimization, and the experimental validation of communication-aware robotic
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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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simulate a refined batch of synthetic data. For each batch, the postdoc will estimate Bayes optimal error, an important guide for realistic goals for deep learning. The first batch of synthetic data will be
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: - A PhD degree in optimization or systems and control theory. - A strong mathematical background and an interest in conducting theoretical research. - A proven track record. - Excellent English
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application! Work assignments The project focuses on electro-enzyme coupled catalysis and reactor system optimization for sustainable energy and chemical conversion. The research will explore the integration
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characterization of the wireless link (power + sensing) - Design and optimization of sensor-resonator coupling - Participation in in vitro and ex vivo testing We are seeking highly motivated researchers to join our
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: Develop AI-assisted experimental workflows for oxide semiconductor deposition, aiming to accelerate process optimization and unravel new process–property relationships, and contributing to an EU Horizon
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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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circuits. The researcher will independently design and conduct experiments using preclinical models of SCI; develop, optimize, and troubleshoot experimental techniques and protocols related to spinal
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and the reduction of protons to hydrogen gas. Work duties The work involves optimizing the respective photocatalytic reactions that have been develop in the group using iron N-heterocyclic carbene