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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 2 hours ago
distributed optimization with noisy communication channels, accurately study the selected algorithms, participate in the development and maintenance of the PEPit (https://pepit.readthedocs.io/ ) software
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and Seidel in the early 2000s, inspired by symplectic geometry. This PhD project is part of a broader research program aiming to use categorical tools to derive geometric results about the
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the ANR. PhD student in Graph Signal Processing for the Characterization of Multipolar Electrograms of Persistent Atrial Fibrillation. Responsible for a significant proportion of brain strokes, atrial
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Contexte : Situation de l'emploi et conditions : The PhD project is associated with the Paris RÉUSS-I project: inteGREEN, funded by ANR France 2030 PEPR Ville Durable et Bâtiment Innovant (VDBI). inteGREEN
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influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
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. The team's main research areas are: Architectures for Autonomous Robots, Learning, Temporal Planning and Execution Control, and Algorithmic motion planning. RIS is composed of 8 permanent researchers, 4
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networks, ensemble algorithms, and other advanced architectures, the objective will be to accurately predict the state of health (SoH) of batteries in the short, medium, and long term, including under
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process structures. However, this method is limited by the inductive bias of the predefined superstructure. Innovation: Increased computing power and advances in data science have popularized new algorithms
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2 Sep 2025 Job Information Organisation/Company CNRS Department Maison de la Simulation Research Field Computer science Mathematics » Algorithms Researcher Profile Recognised Researcher (R2) Country
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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum