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. This laboratory is one of the structuring forces of the landscape of materials and their applications in the academic and industrial worlds, both regionally and nationally. For more information on the IS2M, please
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implement machine learning models dedicated to the prediction, interpretation, and quantitative analysis of Raman vibrational spectra, establishing explicit links between structure, local chemical environment
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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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photophysics under conditions simulating those of the interstellar medium. Structural characterization, electronic absorption, electronic fluorescence, and recurrent fluorescence are studied through in situ
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the conditions of their formation as well as their structure and stability. The transformation or formation of extra species during oxidative water treatment processes will be studied varying different parameters
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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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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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and département level) containing a range of socio-economic indicators (indices of location, specialisation, density, structure of the working population, etc.) and to integrate into them the effects
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to the construction of the detector at the LNGS. Data taking should start in 2029. The subject of this postdoctoral position, funded by the CNRS for two years, is to prepare the analysis of the first data in order to