373 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions at CNRS
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specialist for the formulation of model soft media. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295-MATMAL-001/Default.aspx Requirements Research FieldEngineeringEducation LevelMaster
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commensurate with experience and follows national academic standards for postdoctoral researchers. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9019-NATPET-006/Default.aspx Requirements Research
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their spatial patterns in varying environmental conditions. The successful candidate will integrate to the research unit « Microbial Oceanography - LOMIC : http://lomic.obs-banyuls.fr » in Banyuls sur mer, and
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to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7261-AICBEL-048/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research FieldEnvironmental
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ultrasound, Laboratoire d'imagerie Biomedical, LIB , https://www.lib.upmc.fr/ ) and nanoparticle engineering ( PHENIX Laboratory https://phenix.cnrs.fr/ ). The LIB is located in the Centre de Recherche des
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Marseille in collaboration with Frédéric Lavigne from the University of Nice - Côte d'Azur. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7077-ARNREY-006/Default.aspx Requirements Research
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entanglement. - Theoretical and Analytical Studies: Conduct theoretical and numerical analyses of superradiant molecular ensemble models, with thorough documentation of processes and results. - Simulation Code
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Université (Paris 05), in the team CONFID (COuches Nanométriques Formation Interfaces Défauts). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7588-JEACAN-002/Default.aspx Requirements Research
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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, L. Estel, Analysis of thermal runaway events in French chemical industry, Journal of Loss Prevention in the Process Industries, 62 (2019) 103938. https://doi.org/10.1016/j.jlp.2019.103938 2. Y. Wang