206 structures-"https:" "https:" "https:" "https:" "VSB Technical University of Ostrava" Postdoctoral positions at CNRS
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, physical chemistry, photophysics and biology, and seeks to simultaneously extract structural, dynamical and environmental information at the single-molecule scale. Within the framework of this position
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Marseille in collaboration with Frédéric Lavigne from the University of Nice - Côte d'Azur. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7077-ARNREY-006/Default.aspx Requirements Research
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polymerization and electropolymerization. The structures will be confirmed, for example, by 1H and 13C NMR titration, FTIR, mass spectrometry, UV-vis and fluorescence spectroscopy, electrochemistry, size exclusion
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into key intermediates such as FDCA and DFF. And to a lesser extent to: • The development of hybrid photo–bio catalytic systems • The study of structure–activity relationships and system integration
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instrumentation. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5214-JEAGAY-092/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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the Swiss team led by Christophe Ballif (EPFL/CSEM). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9006-JEAGUI0-017/Default.aspx Requirements Research FieldEngineeringEducation LevelPhD
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), Prof. Philippe Jubault (philippe.jubault@insa-rouen.fr ) and Prof. Thomas Poisson (thomas.poisson@insa-rouen.fr ). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6064-TATBES-006/Default.aspx
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, experimentation and modelling. The research aeras are structured through 4 main unifying themes: Interiors of the Earth and Planets, Natural Hazards, Earth System and Origins. The IPGP is in charge of labelled
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and associated with biological processes such as the circadian rhythm. The aim of the project is to understand at a molecular level the impact of these modifications on the structure and dynamics
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surface-chemistry trends across selected metals and their oxides. These data will support the construction of a machine-learning force field tailored to NHC–surface systems, enabling large-scale molecular