205 structures "https:" "https:" "https:" "https:" "https:" "Birmingham Newman University" Postdoctoral positions at CNRS
Sort by
Refine Your Search
-
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
-
structural data, which requires laboratory based as well as on-site analyses. The main objectives are as follows: Compile legacy data of stained glass windows, this requires extensive data curation and
-
, fluid, and gas transfers on the formation of resources such as natural hydrogen. This issue will be re-evaluated in the Aquitaine Basin and the northern Pyrenees. Where to apply Website https
-
of the laboratory itself. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9012-MARJOU-043/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
-
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
-
, 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
-
Description The Language and Cognition team at the Center for Integrative Neuroscience and Cognition (INCC, https://incc-paris.fr/language-and-cognition/ ) at Paris Cité University is inviting applications
-
Régis de la Bretèche and Cathy Swaenepoel. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7586-REGDUM-001/Candidater.aspx Requirements Research FieldMathematicsEducation LevelPhD
-
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
-
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