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) for the high-luminosity phase of the LHC, in particular on its mechanical design, on the generation of the L1 trigger primitives, and on the development of offline reconstruction algorithms. In addition, it is
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currents on plankton diversification. (S)he will study the connectivity of water masses using a lagrangian approach and design a population genetic model on the connectivity network. - Lagragian
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opportunity to choose between two missions: • Mission 1: Improve new automated algorithmic schemes to quickly, efficiently and robustly detect and extract recorded geophysical signals related to earthquakes
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institutes will ensure strong integration of the results into modelling frameworks and comparative analyses within the project. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8518-MARLIE-022
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the project. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8518-MARLIE-021/Candidater.aspx Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent Research
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vision researchers to design algorithms specifically tailored for the extraction and analysis of these historical diagrams. EIDA considers these diagrams both as visual heritage and as tools
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the study of isolated microorganisms and their genetic and physiological characteristics. The following references can be consulted for examples of recent work by the host teams: - Comparative analysis
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and identification of proteins associated with viral genomes in different cell models (human, rodent, avian, snake and insect). - CRISPR and RNAi genetic screens - Viral production and infection in L-3
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microtubule nucleation is regulated in the context of neuronal development within Drosophila. The recruited postdoctoral fellow will use powerful genetics and advanced cell imaging of neurons in situ
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they are often encoded on mobile genetic elements (MGE), such as prophages or plasmids. This project aims to explore the idea that MGE may be important vehicles of the spread of resistance against other