486 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at CNRS
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on isolated mutations in patients with telomeric disorders Construction of KI cell lines using CRISPR-Cas9 Characterization of the telomeric phenotypes of these KI lines Characterization of the phenotypes
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2 Feb 2026 Job Information Organisation/Company CNRS Department Institut de Recherche sur les Phénomènes Hors Equilibre Research Field Engineering Physics Technology Researcher Profile Recognised
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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
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. - Structural and biochemical characterization of DNA origami using TEM, AFM, Cryo-EM, gel electrophoresis, and fluorescence-based assays. - Engineering of dynamic and stimuli-responsive DNA origami nano-machines
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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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chemistry synthesis (organic and coordination chemistry) - intercalation and exfoliation chemistry - synthesis in supercritical media - structural and spectroscopic characterisation - magnetic and
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15 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire Lasers, Plasmas et Procédés Photoniques Research Field Engineering Chemistry Physics Researcher Profile Recognised
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Chernodub's group in Tours, Adolfo Grushin's group in San Sebastian, Spain, and Andrei Fedorenko, Edmond Orignac and David Carpentier at LPENSL. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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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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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