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to renewable energy sources. Thermodynamic cycles (power generation cycles, refrigeration cycles, heat pumps) play a central role in this transformation, but their optimal design remains a complex scientific
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approach. WP1 dealing with the elaboration, characterization and optimization of Cu/CeO2-TiO2 photocatalytic systems, will be mainly performed at IS2M (Mulhouse) and WP2 focused on the evaluation of gas
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is to understand and optimize PPA properties using a simulation strategy that spans from the molecular scale (ab initio calculations) to continuum approaches, thereby accounting for the different
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09839 Requirements Skills/Qualifications Strong mathematical background. Knowledge in numerical optimization is a plus. Good programming skills in
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Science and Engineering Laboratory (SIMM: https://www.simm.espci.fr/ ), under the supervision of Théo Merland, assistant professor at Sorbonne University, and Cécile Monteux, CNRS research director. The
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exploration and optimization of operating conditions. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5623-LOUBRE-001/Default.aspx Requirements Research FieldChemistryEducation LevelMaster
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potentially integrated route to generate coherent THz radiation, while offering clear knobs—optical power per line, coherence, stability, and spectral bandwidth—to optimize the resulting THz performance
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alternative to conventional fertilizers, as they should optimize nutrient supply, limit losses to the environment, and preserve crop production and quality. Where to apply Website https://amethis.doctorat.org
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). The project is funded by the French National Research Agency (ANR) through the ePulse2 project (https://anr.fr/Projet-ANR-25-CE08-0397 ), which focuses on two aeronautical materials exhibiting carbides and/or
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Description This PhD project aims to develop advanced software solutions for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates