189 postdoc-catalysis-stability-density-functional-theory Postdoctoral positions at CNRS
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for the conversion of CO2 into hydrocarbons. The reaction mechanisms will be studied using in situ surface techniques, particularly IR spectroscopy. The catalysts will then be characterized after use by advanced
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far in any of the numerous direct searches for new particles, the emphasis for Run 3 and the subsequent high-luminosity phase of LHC operation is shifting to precision measurements probing
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• Organizational and teamwork skills • English C1 (or equivalent) • Research experience in the theory of quantum programming languages (expertise in topics listed above is an asset) Website for additional job
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characterization of catalytic nanomaterials, as well as in heterogeneous catalysis. The candidate is expected to demonstrate initiative, ability to work collaboratively within a team, and strong skills in presenting
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• Evaluation of catalytic performance and mechanistic studies • Analysis, processing, and interpretation of experimental data • Scientific dissemination of results: reports, publications, and presentations
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stability. Carboxylic esters (RCOOE) offer a promising alternative as they are readily available, potentially bio-sourced, and can serve as bifunctional partners in cross-coupling reactions. The ester's R and
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matter gravity simulators, enabling the identification of exotic properties of relativistic materials. Use of various theoretical methods to study the effects of field theory properties in curved spacetime
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of the ANR Etiene The successful candidate will work with project leader Régis du Moulin de la Bretèche and members of Number Theory or Automorphic Forms teams. Research activities in analytical number theory
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study of interacting electronic models coupled to photons, aiming to both probe and modify electronic properties. Another exciting avenue is the use of cavity coupling to induce effective electron
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performing atomistic simulations with Density Functional Theory and Molecular Dynamics. Data analysis and coarse graining in order to provide parametrisations for upper scale models (Kinetic Monte Carlo and