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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
, debris flows, lava, mantle convection, atmospheric and oceanic circulation) plays a central role in understanding climate, natural hazards, and the evolution of terrestrial landscapes. Numerical
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have access to state-of-the-art facilities, including cleanroom microfabrication, laser micromachining, 3D printing, advanced microscopy, and numerical modeling tools. The project benefits from a close
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should have a solid background in materials science, polymer processing, mechanical engineering and numerical methods. Knowledge of experimental characterization techniques, data analysis and scientific
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to technologies optimization. The research team has the ambition to address all the needed scientific fields to understand turbulent and multiphase flows from simulation: numerical methods, turbulence models
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indicators and the prediction of remaining useful life of storage devices, leveraging robust estimation techniques and embedded implementation methods proven in demanding industrial environments. The third
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
(or surrogate models) are approximations of classical numerical solvers with a very low computational cost. They form the core of a digital twin. Using machine learning techniques to build these meta-models
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, scientific programming, microfluidics, or microfabrication would be an asset. Theoretical or numerical knowledge of fluid mechanics would also be appreciated. Where to apply Website https://emploi.cnrs.fr
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Description Renal pathology has a central role in the diagnosis and evaluation of the prognosis of many kidney diseases and in transplantation. Numerous studies have shown the decisive importance of quantifying
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
nonlinear optimal control algorithms. Experimentally validating the proposed methods on a waste-sorting robotic platform. Contributing to mechanical and mechatronic design choices whenever they influence
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condensate dynamics [6] confirm that programmable multi-soliton architectures are now experimentally accessible. In par- allel, AI methods — reinforcement learning and neural- network-based optimization — have