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will use a triple and complementary methodology based on : - numerical modelling to develop instrumental models, - space data analysis from planetary exploration missions, - laboratory experiments, using
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liquid environment. 1) Molecular Modeling - Study of interactions between MnO₂ and ionic liquids using Density Functional Theory (DFT) and Reactive Molecular Dynamics (ReaxFF). - Analysis of oxidation
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(DFT) and Energy Decomposition Analysis will be applied to model dissociation processes and reaction mechanisms, allowing for direct comparison with experimental data. Kinetic modeling using RRKM theory
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(DFT) and Energy Decomposition Analysis will be applied to model dissociation processes and reaction mechanisms, allowing for direct comparison with experimental data. Kinetic modeling using RRKM theory
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characterisation techniques, and statistical data analysis. The candidate must have a master's degree in Physics, Chemistry or Materials Sciences. They must be motivated and dynamic with strong abilities
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instrument that will allow the analysis of mesoscale thermal processes under highly controlled experimental conditions in order to understand the fundamental nature of heat transport and to measure the thermal
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neuroscience, or related fields and experience in programming languages for data analysis is required. Expertise in behavioral testing, electrophysiology (scalp EEG, intracranial EEG or MEG) or other
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neuroscience, or related fields and experience in programming languages for data analysis is required. Expertise in behavioral testing, electrophysiology (scalp EEG, intracranial EEG or MEG) or other
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, homogenisation models reduce their accuracy. Consequently, numerical simulations using a DEM-CFD coupling would allow a local analysis of the granular bed and could give the opportunity to estimate the influence
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Philippe Roudot, also at Institut Fresnel, for image analysis. We are looking for an enthusiastic candidate to join our efforts in multi-tissue morphogenesis. Applicants should have a background in cell and