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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
seeks to strengthen the bases for the design, use, and deployment of digital twins, addressing key open challenges in model hybridization, composability, development methodologies, digital coupling, and
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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project
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uncertainties can affect the effectiveness of emergency response operations. The objective is to develop a multi-agent model of emergency response operations during flash floods, in order to study how the use
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. Subsequently, a secondary atmosphere would have been degassed or brought in by a late veneer of chondritic/cometary material. Although this model is regularly evoked using giant planets for comparison, there is
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. This PhD project in Natural Language Processing aims to design generative models capable of automatically simplifying texts into Easy-to-Read and Understand language while preserving their discourse
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barriers (modelling, experimentation, and monitoring), (ii) Determination of the impacts of subsurface exploitation and usage (induced seismicity, pollutant migration, CO₂ and associated impurities leakage
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make it possible to obtain new constraints on the parameters of the standard cosmological model and to test possible extensions to it. Achieving these goals will require extremely precise control
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) programme. The discovery of the Higgs boson by the ATLAS and CMS experiments in 2012 completed the Standard Model (SM) of particle physics by confirming the mechanism of electroweak symmetry breaking (EWSB
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
-supervised by: Mohamed Maouche, Researcher at Inria Raouf Kerkouche, Researcher at Inria Sonia Ben Mokhtar, Researcher at CNRS Scientific context Recent advances in Large Language Models (LLMs) have enabled
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-fidelity modeling approaches combining simulations of different fidelity levels, ranging from RANS calculations to high-fidelity LES, possibly associated with various levels of geometric or physical