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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 22 hours ago
project and in particular on consolidating the logical foundations of mathematical proof assistants (http://malinca.org ). It will be located at the IRIF lab in Paris. Travel expenses are covered within
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CY Cergy Paris University, AGM Research Center in Mathematics Position ID: 2785-POSTDOC [#27824] Position Title: Position Type: Postdoctoral Position Location: Cergy-Pontoise, Ile de France 95302
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 18 days ago
20 Dec 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile Recognised
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, France [map ] Subject Areas: Machine Learning / Machine Learning Statistics Mathematics Probability Statistical Physics Appl Deadline: 2025/12/20 11:59PM (posted 2025/11/25, listed until 2026/05/25
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[map ] Subject Areas: Mathematical Physics High-Energy Theory / Quantum Field Theory Appl Deadline: 2025/12/17 11:59PM (posted 2025/12/13, listed until 2026/03/22) Position Description: Apply Position
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11 Dec 2025 Job Information Organisation/Company CNRS Department Laboratoire de mathématiques d'Orsay Research Field Mathematics History » History of science Researcher Profile First Stage
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6 Dec 2025 Job Information Organisation/Company CNRS Department Institut de mathématiques de Jussieu - Paris Rive Gauche Research Field Mathematics History » History of science Researcher Profile
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collaborate with ARCHIVES project partners to ensure coordinated progress and sharing of results. · Develop solutions combining numerical modeling, mathematical methods, and statistical/AI approaches
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), funded by the ANR (French National Research Agency), https://projet-anr-reach.math.cnrs.fr/ The host laboratory will be the Center for Analysis and Social Mathematics (CAMS https://cams.ehess.fr/ ), CNRS
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze