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aims to accelerate materials development through digital methodologies, combining robotic automation of experimental tasks with artificial intelligence to optimize processes and establish composition
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learnINg for LArge scaLe InTerconnected sYstems) focused on "Fairness in flow allocation: an optimal transport approach". The FINALITY DN advances the theoretical computer science curriculum focusing
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multidisciplinary environment. PhD Research Focus The selected PhD student will contribute to the design, fabrication, and optimization of electrochemical devices, exploring novel electrode materials, miniaturization
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defect engineering in cerium oxide nanoparticles to optimize their redox activity and catalytic properties. This involves aqueous, room-temperature synthesis methods, advanced spectroscopic