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2 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire de Chimie Physique - Matière et Rayonnement Research Field Physics Researcher Profile Recognised Researcher (R2) Country
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Location: Paris, Ile-de-France 75 005, France [map ] Subject Areas: Theoretical Physics / Mathematical physics , Conformal Field Theory , Quantum Field Theory Statistical Physics / Statistical Physics
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-France F-91440, France [map ] Subject Area: Theoretical Physics / Mathematical physics Appl Deadline: 2025/11/30 11:59PM (posted 2025/10/21, listed until 2025/12/31) Position Description: Apply Position
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Institut des Hautes Etudes Scientifiques | Bures sur Yvette, le de France | France | about 13 hours ago
Description IHES is advertising one (2+1)-year post-doctoral position in theoretical and/or mathematical physics with a starting date in fall 2026. Successful candidate will work with Prof. Slava Rychkov
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Institut des Hautes Etudes Scientifiques | Bures sur Yvette, le de France | France | about 13 hours ago
] Subject Area: Theoretical physics - gravitaional waves Appl Deadline: 2025/11/30 11:59PM (posted 2025/10/23, listed until 2025/12/31) Position Description: Apply Position Description IHES is advertising one (2
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] Subject Area: Theoretical Physics / Gravitational waves Appl Deadline: 2025/11/30 11:59PM (posted 2025/10/17, listed until 2025/12/31) Position Description: Apply Position Description IHES is advertising one
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25 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire de Physique Research Field Physics Researcher Profile Recognised Researcher (R2) Country France Application Deadline 14
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Information Eligibility criteria - PhD in theoretical chemistry applied to materials, materials physics, or computer science/applied mathematics; - Solid experience in DFT applied to periodic systems (codes
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Job related to staff position within a Research Infrastructure? No Offer Description Development of theoretical models of cell migration with memory Modeling in statistical physics and soft matter
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”). This project investigates whether quantum computing can enable a new generation of generative AI models that are more efficient, theoretically grounded, and explainable. The research sits at the crossroads