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individuals to complement its own, which allows it to save learning time and avoid the risk of harmful consequences from inappropriate behaviour. It is crucial that these different strategies, involving varying
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, these CMCs will increase the lifespan of engine parts to increase robustness and facilitate the maintainability of military and civil aircraft. Description of the subject: This thesis project is based on a
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
Python and good analytical skills. A good background in probability/statistics and deep learning is expected. Knowledge of differential privacy and/or fairness is a plus, but not necessary. The candidate
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objective is to improve knowledge of aeronautical sealing. Overlapping piston ring seals are used in numerous aeronautical applications, both civil and military. Their primary function is to ensure
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 6 days ago
. Learn and train on CODA software and its environment, namely development environment (IDE, debugger), pre/post-processing tools, mesh generation, AIRBUS HPC environment. Set-up and simulate simple
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: skills in instrumentation and experimentation; signal processing and electronics; computer science, C/C++ coding; Familiarity with system dynamics and control; Familiarity with computer graphics, 3D
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Description A 2-year post-doctoral position (with possibility of extension) is available in the Plant Reproduction and Development (RDP) laboratory, located on the campus of ENS Lyon, France. The successful
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the basic methods of observational cosmology. Experience in observational data analysis and computer programming skills are essential. This position is reserved for candidates with less than two years
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of definitions, theorems and proofs. We would like to apply this to make the use of computer formalisation practical and current for mathematical research writing. Where to apply Website https://emploi.cnrs.fr
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researchers in the efficient and clean use of renewable synthetic fuels. Candidates will acquire advanced skills in combustion science, chemical kinetics, and numerical modeling. Each PhD will lead to a double