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from noise correlations at different scales in order to obtain a comprehensive understanding of the lithospheric structure of the FMC. Data from the main MACIV network and the three profiles will be used
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applied methodologies in Data and Image Analysis, Computational Imaging, Statistical Learning, Uncertainty Quantification, Robust Estimation, and Deep Neural Networks. The group combines expertise in
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particularly complex, involving an online network of pages, a social network of individuals, and a bipartite network of contributions, i.e. actions on pages. Furthermore, in order to model the mechanisms
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and publications in scientific journals. The PhD student's participation in events organised by international networks such as GeoMIP will be encouraged by the supervisors. Any other opportunities
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges