188 structural-engineering "https:" "https:" "https:" "Universidade do Minho ISISE" 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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experimental, analytical, and computational platforms to support the project. https://www.get.omp.eu/ The work carried out during this post-doctoral contract will be integrated into the ERC StG LEAPHY project
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19 Jan 2026 Job Information Organisation/Company CNRS Department Centre de Nanosciences et de Nanotechnologies Research Field Engineering Physics Technology Researcher Profile First Stage Researcher
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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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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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, 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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UMR 6524, Clermont-Auvergne University. Collaboration with the IMFT (Institute of Fluid Mechanics, Toulouse) for the numerical modelling. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6524
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, depending on the start date. To apply, candidates must submit: 1) A detailed CV with a list of (pre)publications 2) A cover letter 3) A research proposal Where to apply Website https://emploi.cnrs.fr/Offres
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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