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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
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University of Strasbourg (UMR7178), is a multidisciplinary laboratory where research teams from different scientific cultures (ecology, physiology and ethology, chemistry and subatomic physics) develop very
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9 Mar 2026 Job Information Organisation/Company CNRS Department Institut d'Electronique et des Systèmes Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline 30
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21 Feb 2026 Job Information Organisation/Company CNRS Department Laboratoire national des champs magnétiques intenses Research Field Physics Physics » Solid state physics Physics » Surface physics
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valorization. The candidate will work within a multidisciplinary team, including chemists, physicists, and process engineers, with regular interactions to develop innovative and complementary approaches
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physics today. Its contribution to the total mass of the Universe is 85%, but it cannot be explained within the framework of the Standard Model of particle physics (SM). However, several candidates for dark
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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 Develop numerical models capable of reproducing laboratory experiments
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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
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14 Feb 2026 Job Information Organisation/Company CNRS Department Institut de Science et d'Ingénierie Supramoléculaires Research Field Physics Chemistry » Computational chemistry Researcher Profile
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, contributing to a new lithotectonic map of the Aquitaine basement. The present-day lithosphere temperature structure will be modeled using petro-physical modeling (LitMod2D 2.0 software) along a ~1000 km