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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will use the poroelasticity models developed in the M3DISIM team
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and localization of a potential fault using the Matched Field Processing (MFP) method, based on the reconstruction of a response model of the inspected structure from the modal parameters predicted by
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. Ca in Ol1), and the use of dihedral angles in solidified plutonic rocks. A key objective will be to improve current approaches to quantify those cooling rates by providing 1/ a finite difference model
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and analyzed. The results will inform the development of new models that describe how seafloor spreading operates on short time scales. ⁃ Perform statistical analyses (assessing distributions
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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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ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
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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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porous media (imbibition, wetting, flow, etc.). The approach will be essentially experimental, combining model debinding tests on various specimens with characterizations. • Determine the main mechanisms
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supporting a role for a PM-localised receptor complex in dsRNA perception and signalling. In the center of this project stands the observation that the movement protein (MP) of tobacco mosaic virus and the MPs
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for biomarkers in 7T images. - Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification