311 structures "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at CNRS
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allows for the precise design of quantum dots while retaining the exceptional mechanical properties of graphene. The electronic structure of bilayer graphene has been intensively studied in recent years
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on this topic IMN is a joint research unit of 200 people. The recruited researcher (male/female) will join the PMN (Physics of Materials and Nanostructures) team. Where to apply Website https://emploi.cnrs.fr
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structure as well as the location and depth of the transformations. The researcher (M/F) will be in charge of material interaction experiments and/or electromagnetics and thermal simulations with femtosecond
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platforms (nano-XRF imaging, aging test benches, X-ray microtomography, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5129-MARCLO-108/Candidater.aspx Requirements Research
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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5219-LAURIS-003/Candidater.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research FieldHistoryEducation
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through chemical analyses (ICP-AES and ICP-MS), physicochemical analyses (DLS, zeta potential), structural analyses (XRD, XANES, EXAFS), X-ray imaging (2D and 3D), microbial community analyses, and
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of a workspace, access to computer equipment, and a budget for mission funding. The contract is for 12 months, renewable once. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9194-OLIGOS
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university cafeteria. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7006-JOHSCH-009/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent Research
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, brings together around 300 people and is one of the leading centers for fundamental research in biology in the Paris region. The host team (https://www.ijm.fr/recherche/duharcourt-lab-vf/ ) is particularly
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed