48 structural-engineering "https:" "https:" "https:" "https:" "UCL" "UCL" scholarships at CNRS
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17 Jan 2026 Job Information Organisation/Company CNRS Department Centre de recherche sur l'hétéroepitaxie et ses applications Research Field Engineering Physics Technology Researcher Profile First
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complexes with nucleic acids; 2) Evaluation of the delivry complexes for inhalation by Aerosol technology; 4) Analysis of the structure-activity relationship of dendrimers for nucleic acid delivery via
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6 Jan 2026 Job Information Organisation/Company CNRS Department ALISTORE-ERI Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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• Openness to interdisciplinary research (climate and social sciences) • Good level of scientific English Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UAR636-ALERUB-040/Default.aspx
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the Universities of Salzburg and Maastricht. One position includes an additional computational component, and the other a focus on transcranial brain stimulation. Where to apply Website https
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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applications (https://dcm.univ-grenoble-alpes.fr/research/ingenierie-et-interactions-… ). The candidate will be based Grenoble, with secondments in other laboratories of the network. Grenoble is the largest city
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on the flow in soap films and will help us better understand how surface viscosity affects foam drainage, bubble coalescence, and the aging of fluid interfaces. Where to apply Website https://emploi.cnrs.fr
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. Argument(ation) mining, the new and rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures in large resources