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. - The comparison of the electrochemical results with the physico-chemical characteristics in order to define optimization strategies. - The use/development of advanced in situ/operando techniques including NMR
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or bubble . Despite the development of these different, we still face specific challenges to quantifying the interfacial properties; some of these techniques are limited to static measurements and rheological
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interaction, advanced numerical modelling, experimental techniques, sensor development, data-driven methods, and artificial intelligence for industrial applications in energy, process, and materials engineering
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of theoretical although both will explore the interfaces between theory and experiment. They will both be hosted by the Quantum Information team (https://qi.lip6.fr/ ) of the Computer Science department (LIP6
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supervision of Dr. Bajenoff (http://www.ciml.univ-mrs.fr/fr/science/lab-marc-bajenoff/immunobiologie… ). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7280-MARBAJ-024/Candidater.aspx
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, materials science, and advanced nanofabrication. This project focuses on the development of functional optical metasurfaces with engineered responses tailored for selective optical camouflage. The targeted
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-based interatomic potentials, and active learning strategies for identifying materials with high thermoelectric efficiency (ZT figure of merit). Where to apply Website https://emploi.cnrs.fr/Candidat
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electronic structure methods for the above-described properties. In more details, this will require the development of an automated approach that allows identifying the excited-states across several levels
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research in social, affective, and health neuroscience. English is the working language of the team, but speaking French or an interest in learning French will be advantageous. Where to apply Website https