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Position Location: Palaiseau, Ile de France 91128, France [map ] Subject Areas: Physics / Electron Hydrodynamics , Condensed Matter Physics , Condensed Matter Physics; Condensed Matter Theory; Computational
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30 Mar 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme
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21 Feb 2026 Job Information Organisation/Company CNRS Department Laboratoire de Physique Research Field Physics Chemistry » Computational chemistry Researcher Profile First Stage Researcher (R1
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The tasks of the position are as follows: 1) Development, characterization
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
25 Mar 2026 Job Information Organisation/Company CNRS Department Centre d'écologie fonctionnelle et évolutive Research Field Geosciences Biological sciences Researcher Profile Recognised Researcher
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26 Feb 2026 Job Information Organisation/Company INSERM U1112 Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 1 Apr
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, materials science, and advanced nanofabrication. This project focuses on the development of functional optical metasurfaces with engineered responses tailored for selective optical camouflage. The targeted
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27 Feb 2026 Job Information Organisation/Company CNRS Department Laboratoire des technologies de la microélectronique Research Field Engineering Physics Technology Researcher Profile Recognised
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2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not
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) enables computations to be performed directly on encrypted data without knowledge of the deciphering key, offering significant potential for privacy-preserving deep learning. However, conventional neural