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of various existing datasets (picking files of local earthquakes and shots), recording of P-waves converted to S-waves on OBS, construction of an a priori model based on available tomographic grids and
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of coupling observations and measurements (field and remote sensing), laboratory experiments and numerical modelling (see page https://lmv.uca.fr/volcanology/ ). Where to apply Website https://emploi.cnrs.fr
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in numerous collaborative academic and industrial projects producing impressive demonstrations. Its researchers publish their work in the best international journals (IEEE T-RO, IJCV, etc.) and
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models
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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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of an ERC founded project. The recruited person(s) will perform either laboratory-based experiments, field measurements or numerical modelling, depending in the applicant's profile. The experimental
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; - Characterizing blister dimensions using AFM and SEM, as well as the strain transferred to 2D materials using spectroscopy (Raman); - Implementing analytical and numerical (finite-element) approaches to analyze
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), using a dual experimental and numerical approach. As part of this postdoctoral contract, we will address the following fundamental question: considering a density-stratified ocean, what turbulence and
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the theoretical modeling of satellite excitations in photoemission spectra within the ghost Gutzwiller framework. It will involve exploring the adequacy of coupled cluster based Ansaetze as impurity solver, as
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and assembly) (3) the study of their structure and their properties and (4) analytical and numerical modeling. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5031-CORAME0-048