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9 Mar 2026 Job Information Organisation/Company CNRS Department UCCS Research Field Chemistry » Analytical chemistry Chemistry » Computational chemistry Chemistry » Structural chemistry Physics
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Christian RICOLLEAU, from the 'Advanced Electron Microscopy and Nano-Structures' team at the MPQ laboratory (https://mpq.u-paris.fr/means/ ), in close collaboration with Marc RESPAUD, from the "Surfaces
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activities between IETR and the French space agency CNES (https://cnes.fr ). This interdisciplinary project will be carried out at IETR – UMR CNRS 6164 (http://www.ietr.fr ) and it will strongly involve two
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motivated to acquire new skills. Candidates must be fluent in English and/or French with scientific writing skills. The doctoral contract will take place at the CRISMAT laboratory (https://crismat.cnrs.fr
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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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construction, ii) the managers of the different models involved, and iii) other postdoctoral researchers focusing on complementary modeling aspects (specific analysis of soil carbon models and work on crop
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) to analyze the structural, morphological, and surface properties of h-BN nanosheets (both pristine and functionalized). Map the distribution of functional groups and correlate it with reaction parameters (time
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composites (rheology, DMA, tensile testing, etc.) will then be studied in order to establish structure–property relationships. This work will be carried out within the Chemistry & Macromolecular Materials
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PROJET-PEPR : MOF composites for the overall CO₂ reduction through panchromatic photocatalysis (M/F)
clusters and photoactive linkers, have emerged as promising catalysts for CO2RR under visible light irradiation, thanks to their stability and tunable porous structure. Recently, we showed that integrating
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to structured programming in C++ and Python - knowledge of linux / unix operating system - fluent knowledge of spoken and written English - fundamental knowlegde of machine learning (and statistics) - good level