367 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Humboldt Universität zu Berlin •" positions at CNRS
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to solar-driven thermophotovoltaic systems. By combining numerical modeling with experimental development, this PhD aims to bridge the gap between theoretical cavity designs and practical TPV subsystem
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), the Grenoble National Polytechnic Institute (Grenoble-INP), the University Grenoble Alps (UGA) and the University of Savoie Mont-Blanc (USMB). LEPMI's main research activities focus on the development and multi
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to the scientific and technological development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation
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the network, as well as with academic and non-academic partners. General information about the CLIMES project is available at: [https://www.climes.se/climesdn/ ](https://www.climes.se/climesdn/ ) All working
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The tasks of the position are as follows: 1) Development, characterization
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media requires the development of approaches targeting intermediate scales of matter, between the nanometer and the micrometer, using both experimental tools for synthesis and characterization, often in
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instrumentation. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5214-JEAGAY-092/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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the absorption of other MGEs, thereby restricting gene flow due to altered capsule production. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5100-OLAREN-007/Default.aspx Requirements Research
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the Universities of Salzburg and Maastricht. One position includes an additional computational component, and the other a focus on transcranial brain stimulation. Where to apply Website https
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, as well as to the development of a structured database generated from ab initio calculations and enriched through machine learning approaches. The objective is to develop predictive tools to analyze