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requires very long simulation times which may only be achieved using frugal numerical approaches or reduced-order models. Below are listed some possible activities of the successful candidate. Some of these
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generative artificial intelligence, machine learning, and ontologies to automatically align heterogeneous competency frameworks. The research will focus on: Formal modelling of competencies and educational
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, if possible with a focus on modelling/numerical simulations. • A good level of Python programming is required. • A level of scientific English sufficient to conduct research and build international
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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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The successful candidate will join the Climate Physics team at ENS de Lyon (https://climatephysics-ensl.fr/ ), which currently consists of 5 permanent researchers, 7 PhD students and 2 postdoctoral researchers. We
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proficiency in spoken and written English. Experience with numerical simulation tools (CFD and/or thermal modelling) will be considered an asset but is not mandatory. Previous experience in the following areas
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thermiques à micro-echelle, extraire les paramètres thermiques, et ainsi simuler, developer puis intégrer avec les équipes de ST les solutions élaborées afin d'optimiser la gestion thermique aux micro-échelles
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candidate will : • Adapt the AEROTYPro/GRASP methodology for the typing and quantification of stratospheric sulfate aerosols; • Develop optical models for the characterization of sulfate particles produced
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experimental work; • Strong interest in modeling/simulation, particularly multiphysics modeling, and data analysis; • Autonomy, scientific curiosity, and the ability to work in a multidisciplinary environment
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, the work will benefit from the complementary expertise of the PIIM and IRAP groups in theoretical modeling and numerical simulations of centrifugal instabilities, in the context of both laboratory devices