430 structures-"https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at CNRS
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modeling of polymeric, reinforced, and porous materials, with strong expertise in large deformations and numerical homogenization. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7649-JULDIA
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industrial partners. - Construction of electrochemical cells incorporating specially designed magnetic field sources, including quantitative measurement of local magnetic fields. - Implementation of tools
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conducted with Italian partners in Rome (Sapienza University, Catholic University of Rome, Gemelli Institute). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7252-VINCOU-004/Default.aspx
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(MESR). The Marie Sklodowska-Curie GLYCOCALYX doctoral network (https://www.glycocalyx.org/ ) brings together 15 European partners implementing a multidisciplinary research and training program to study
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to structured programming in C++ and Python - knowledge of linux / unix operating system - fluent knowledge of spoken and written English - fundamental knowlegde of machine learning (and statistics) - good level
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of colonial marine vertebrates (albatrosses, penguins, sea lions) reproduce in simple, structured communities, we are testing key hypotheses concerning the processes affecting the eco-epidemiological dynamics
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also work closely with the GRASP SAS company. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8518-MARLIE-024/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD
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to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5798-NICBAC-009/Default.aspx Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent LanguagesFRENCHLevelBasic Research
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to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7285-KARDEO-009/Default.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD or equivalent
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on annotated structures, which could eventually lead to automated comparative grammars. The mission is funded by the ANR Autogramm research project (https://autogramm.github.io/ ). Autogramm focuses on exploring