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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
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Infrastructure? No Offer Description The postdoctoral researcher will contribute to the ANR-funded Pi-CANTHERM project, which aims to design, model, and predict the performance of new n‑type organic thermoelectric
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and process behavioral and electrophysiological data • Model behavior based on diffusion models and make explicit link with neurophysiological data • Conduct detailled statistical analysis • Write
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will benefit from the various skills in tropical ecology, vegetation modelling, and remote sensing of a large and enthusiastic team of collaborators. Where to apply Website https://emploi.cnrs.fr
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Research FieldPhysicsYears of Research ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria Creation of models Analytical calculations Numerical
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using advanced statistical methods. The goal is to improve our understanding of wave-driven turbulence processes, which are crucial for accurate climate modeling The Institute of Environmental Geosciences
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to assess performance in hypoxia models and radiotherapy contexts. Participate in publications, patents, and start-up development activities. The work will take place within the framework of the Project