4 machine-learning "https:" "https:" positions at Université Grenoble Alpes in France
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or machine learning applied to brain signals would be an advantage. We are seeking a highly motivated, rigorous and inquisitive researcher, ready to commit to a project at the interface between basic and
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des algorithmes d'apprentissage automatique (IA et Machine Learning) pour prendre en compte les phénomènes de dérives et permettre l'auto calibration des mesures
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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