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-perturbative renormalization methods to study the flow, initially of the complex KPZ equation and subsequently of dissipative open quantum systems. Fundamental research in theoretical physics. Nice physics
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2 Apr 2026 Job Information Organisation/Company CNRS Department Architecture et Réactivité de l'ARN Research Field Chemistry Physics » Biophysics Biological sciences » Biological engineering
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2 Apr 2026 Job Information Organisation/Company CNRS Department Catalyse, Polymérisation, Procédés et Matériaux Research Field Chemistry Physics Researcher Profile First Stage Researcher (R1
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 4 days ago
graph-based representations, system dynamics, and Physics-Informed Learning, as well as the implementation and validation of these models using real-world data. The developed models will be integrated
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
3 Apr 2026 Job Information Organisation/Company CNRS Department Génomique Métabolique Research Field Chemistry Physics » Biophysics Biological sciences » Biological engineering Researcher Profile
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to Inner-Heliospheric Switchbacks” *(JET2SB, https://anr.fr/Project-ANR-25-CE31-7416 ) project of the French “Agence Nationale pour la Recherche” (ANR) is open for applications to work with the space plasmas
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2 Apr 2026 Job Information Organisation/Company Université de Bordeaux / University of Bordeaux Research Field Chemistry » Physical chemistry Physics » Optics Researcher Profile First Stage
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4 Apr 2026 Job Information Organisation/Company CNRS Department Institut de Combustion, Aérothermique, Réactivité et Environnement Research Field Engineering Chemistry Physics Researcher Profile
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‑order elements are often used for plasma simulation, but they remain insufficient to handle the complexity of magnetic‑field anisotropy without relying on field‑aligned meshes. Our objective is therefore
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methodologies, particularly Hierarchical Re-inforcement Learning (HRL), to effectively navigate the complex state spaces inherent in SoC vulnerability assessment. The objective of this position is to build upon