364 structural-engineering "https:" "https:" "https:" "https:" "UCL" "UCL" positions at CNRS in France
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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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preserved by Christian institutions, following the example of research carried out by the ChrIs-cross team on documents preserved in Jerusalem. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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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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Website https://emploi.cnrs.fr/Candidat/Offre/UMR5069-SAMLAK-012/Candidater.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research FieldHistoryEducation LevelPhD or equivalent
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their many selective barrier functions. The PhD Fellows will receive cutting edge scientific training, alongside industry-relevant transferable skills, e.g. to equip them for careers in the medical technology
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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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Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management
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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