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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various
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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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quantify the evolution of the thermal structure of the Aquitaine Basin's crust and mantle using the geological record. Geophysical data, the subsidence history of sedimentary basins, and thermal-mechanical
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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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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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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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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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of both the filament and the substrate, pressure, gas phase precursor composition) with the film chemical structure and the resulting optical properties will be carried out. The DC candidate will be trained