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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
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the signals indicating transient but slow deformations (slow earthquakes, co- and post-seismic deformations). 1. Use spatial coherence and advanced methods (PCA...) to separate the numerous low
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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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instruments and high throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those
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compact device that can practically be used for nuclear waste and cargo. The recruited person will have several activities: -numerical simulations based on established Monte Carlo codes -Participation in