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. * Design numerical simulations of 2-D dike propagation coupling viscous flow and fracturing of elastic host rocks, building on existing frameworks for modeling hydrofractures. * Implement boundary conditions
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or liquid chromatography, mass spectrometry, optical diagnostics, lasers, IR-UV-Vis spectrometry - Measurements in atmospheric simulation chambers, in reactors coupled with laser-induced fluorescence
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The postdoctoral fellow will participate in the PostGenAI@Paris AI Cluster (ANR) project at Sorbonne University, and more specifically in the "AI-Augmented Multiscale Modeling for Energy Storage" sub-project, whose
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to unravel the atmospheric importance of this interfacial chemistry by means of (i) laboratory-based investigations, (ii) field observations and (iii) modelling. These activities will take place in the frame
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and implemented in Fenics to: - Identify the mechanical properties of collagen hydrogels, depending on their manufacturing conditions, based on experimental data. - Improve these models to include
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dissipation processes driven by waves in the ocean The project involves numerical simulations of various atmospheric and oceanic conditions using large eddy simulations (LES), followed by parameter calibration
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to identify key parameters to improve sustainability in operating conditions while maintaining sufficient activity for the production of hydrogen at the negative electrode and oxygen at the positive
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the nature of the ambient noise in the reactor (spectrum, spatial and temporal distributions, levels), the approach consists in developing passive methods by determining their conditions of use but not