481 structural-engineering-"https:" "https:" "https:" "https:" "UCL" "UCL" positions at CNRS
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https://emploi.cnrs.fr/Candidat/Offre/UMR3215-YOHBEL-023/Candidater.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research FieldHistoryEducation LevelPhD or equivalent
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Field Laboratory (EMFL), the LNCMI actively contributes to scientific progress at the European level. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3228-CATKNO-050/Candidater.aspx
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26 Jan 2026 Job Information Organisation/Company CNRS Department NAnomédecine, Biologie extracellulaire, Intégratome et Innovations Research Field Pharmacological sciences Engineering Technology
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) - bibliographic survey (secondary task) - participating in the management of the laboratory (secondary task) Frame of the contract : the LHFA (https://www.lhfa.cnrs.fr/ ) is an Unité Mixte CNRS-Université de
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encoding of information, inspired by concepts from single-pixel imaging, and transposed to fluorescence microscopy through the use of structured illumination with variable frequency. The objective is to
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31 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire des Sciences des Procédés et des Matériaux Research Field Engineering Physics Technology Researcher Profile Recognised
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collaboration with LuMIn at ENS Paris Saclay, as part of an ANR contract, with a consortium of six partners. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8214-ALEFRA-001/Candidater.aspx
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. Location The place of employment and work is the palaeoecological research group of the Department of Environmental Geography, at Toulouse Jean Jaurès University (https://www.univ-tlse2.fr/home/ ), France
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19 Jan 2026 Job Information Organisation/Company CNRS Department Service de physique de l'état condensé Research Field Engineering Chemistry Physics Researcher Profile First Stage Researcher (R1
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning