393 computer-science-intern "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at CNRS
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provided in the laboratory. The ideal candidate should be comfortable working in an interdisciplinary and international environment. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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14 Apr 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme
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Postdoctoral position (M/F) on impedance and dielectric study of solid/solid interfaces in batteries
2 Apr 2026 Job Information Organisation/Company CNRS Department Institut de Chimie Moléculaire et des Matériaux d'Orsay Research Field Chemistry Physics Technology Researcher Profile Recognised
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23 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire de Planétologie et Géosciences Research Field Geosciences Astronomy Environmental science Researcher Profile First Stage
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This thesis project will be performed in an international dynamic group composed
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fabrication Prototyping Electrical and electronic engineering Numerical simulation Optics Computer-aided design (CAD) Optical and electrical characterization techniques Semiconductor materials # Soft Skills
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher will join the 2D
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4 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique de la matière condensée Research Field Physics Chemistry » Computational chemistry Researcher Profile First
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) - Signal processing and image analysis (Python) - Oral presentation of scientific results at meetings and international conferences. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295
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international conferences. h.Training: Develop mastery of stability theory, machine learning, reduced-order modelling and high-performance computing. The candidate must hold a Master's degree in Fluid Mechanics