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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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models that account for the dynamics of the actin polymer population in the cell cortex. The analysis will be carried out using probability theory and simulation tools, and will be based on a real effort
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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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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 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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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