33 quantum-physics-"https:"-"https:"-"https:"-"Institute-for-Advanced-Study" positions at CNRS
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scientists working in diverse domains of fundamental and applied Physics. The postdoc will integrate the Condensed Matter group at CPHT. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7644
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28 Mar 2026 Job Information Organisation/Company CNRS Department Institut d'Electronique de Microélectronique et de Nanotechnologie Research Field Engineering Physics Technology Researcher Profile
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(USMB). Its scientific activities span cosmology and astroparticle physics, particle physics, and mathematical physics. The Astroparticle and Cosmology group (https://astrocosmolapth.com ) conducts
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. This position is supported by the national strategy for quantum technologies through the collaborative project OQuLuS. The work will be done in the Institute of Physics of Collège de France in Paris, in
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24 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire Réactions et Génie des Procédés Research Field Engineering Chemistry Physics Researcher Profile First Stage Researcher
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23 Mar 2026 Job Information Organisation/Company CNRS Department Institut Charles Gerhardt Montpellier Research Field Chemistry Physics Researcher Profile First Stage Researcher (R1) Application
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stability (beam break-up). The Grenoble Laboratory of Subatomic Physics and Cosmology (LPSC) ( http://lpsc.in2p3.fr ) is a mixed research unit associating CNRS-IN2P3, Grenoble Alpes University (UGA) and
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High Magnetic Field Laboratory (LNCMI) – French National Centre for Scientific Research (CNRS), Grenoble, in experimental condensed matter physics. The research activities will focus on magneto-optical
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identification of microbial species that coevolve with the host immune system. These findings will support models of immune dynamics that can predict age related immune responses. Where to apply Website https
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models