221 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at CNRS in France
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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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. The project is carried out in a collaborative research environment. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9025-DANCOM-005/Candidater.aspx Requirements Research FieldPhysicsEducation
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will join Magali SUZANNE's team, Apoptosis-Dependent Morphogenesis, at the Center for Integrative Biology (CBI). Founded in 2016, the Toulouse Center for Integrative Biology (CBI; http://cbi-toulouse.fr
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supervision of Dr. Bajenoff (http://www.ciml.univ-mrs.fr/fr/science/lab-marc-bajenoff/immunobiologie… ). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7280-MARBAJ-024/Candidater.aspx
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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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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
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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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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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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