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30 Sep 2025 Job Information Organisation/Company Université Grenoble Alpes Research Field Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1) Country France Application
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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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[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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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 7 hours ago
, mathematics, applied mathematics, or engineering. Languages: English. Relational skills: easy communication, sociable with an appetite for working in a group. Additional skills appreciated: rigorous, organized
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) Position Description: Apply Position Description I am offering a postdoc position in the mathematics department at Ecole Normale Supérieure de Lyon, to work on high-dimensional probability, statistics
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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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-atmosphere coupled dynamics in tropical regions. • In-depth knowledge of applied mathematics/AI and numerical modeling. • Previous experience in paleoclimate data assimilation and proxy modeling required
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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