7 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Université Grenoble Alpes
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. Skills in computational modelling or machine learning applied to brain signals are an asset. We are looking for a highly motivated, rigorous and curious researcher who is ready to invest themselves in a
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analyses of declustered catalogs will quantify background seismicity changes, a sensitive proxy for stress evolution on the fault. Machine learning approaches will be used to characterize empirical
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Grenoble Observatory of Universe Sciences (OSUG) and a joint research unit (CNRS, UGA) with approximately 170 staff members and numerous temporary employees. https://ipag.osug.fr/ The CHARM team, led by