46 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" PhD positions at CNRS
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together expertise in physics, chemistry, nanoscience, and materials engineering. For more information about IS2M, please feel free to visit the website: https://www.is2m.uha.fr/ . The PhD candidate (M/F
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23 Feb 2026 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Engineering Physics Technology Researcher Profile First Stage
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, engineers) and 100 contractual staff (PhD students, postdoctoral researchers, engineers, and technicians). The institute also hosts dozens of interns and visiting scientists each year. IGE is spread across
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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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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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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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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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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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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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. 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