217 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at CNRS
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will work in close collaboration with Guy Theraulaz, Clément Sire, and their partners in Marseille. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5152-MALBEN-011/Candidater.aspx
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the project. The position will involve travel for work-related assignments. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5267-FABHIR-005/Candidater.aspx Requirements Research
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. The successful candidate will join these two projects to help optimise them using the instrument simulations obtained. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8617-VIRKAT-009
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office hours. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UAR3278-NATTOL-035/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic
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to understand the formation of avian skin patterns Developmental biology and genomics experiments Team work in the laboratory Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7241-MARMAN-006
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. Moradinezhad. About LAPTh (https://lapth.cnrs.fr ): LAPTh is a mixed research unit (UMR) of CNRS and Université Savoie Mont Blanc (USMB). Its scientific activities span cosmology and astroparticles, particle
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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at the Plant Reproduction and Development Laboratory (RPD, CNRS UMR 5667, Lyon), see https://www.ens-lyon.fr/RDP/signalisation-cellulaire-et-endomembranes/ Our added bonuses: • A stimulating work environment in
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with numerous technological platforms (imaging, mass spectrometry, histology, animal facilities, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9002-KRZROG-008/Candidater.aspx
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-machines and nano-robots as a drug delivery vehicles. As a core research activities, the postdoc candidate activities are the: - Design and in silico modeling of DNA origami nanostructures with high