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carried out within the framework of the CPER WaveTech@HdF project. - Research in theoretical (and potentially numerical) analysis of partial differential equations - Collaboration with Guillaume Ferriere
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proof theory and functional and numerical analysis, through the semantics of differential linear logic and programming languages. In particular, this project seeks to lay the foundations for a
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from École Normale Supérieure (ENS) de Rennes. The postdoctoral researcher will have the possibility to exchange with the groups of numerical analysis, analysis of PDEs, dynamical systems, probability
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 10 hours ago
out research work on problems of statistical estimation with the support of information theory. This research involves a literature review, mathematical analysis, and numerical simulations, as
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 10 hours ago
work algorithm design and their theoretical analysis numerical simulations writing scientific papers Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09888 Requirements Skills
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microscopy and electron microprobe analysis. This work aims to identify mineralogical and chemical signatures associated with the earliest stages of planetesimal differentiation. The researcher will also be
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social and cognitive psychology. The laboratory also develops cross-disciplinary research initiatives among these teams. It also hosts numerous doctoral and postdoctoral researchers. The CLLE is a CNRS
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PyTorch. ✔️ You have a good knowledge of linear algebra and statistics. ✔️ You have good listening, analysis and synthesis skills, and are curious and open-minded. ✔️ You are adaptable, autonomous, rigorous
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assessed. However, manual mapping is extremely time consuming, while the expertise might not be always available, which prohibits the analysis of large fault areas at high resolution, and dramatically limits
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modeling with deep learning for the analysis of hyperspectral imaging data. The researcher will be responsible for the design and development of numerical models, including neural network architectures