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machine learning to study fault movements and earthquake predictability through synthetic catalogs and observed data. This project, funded by the Icelandic Research Fund (IRF) for three years, includes both
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fault behavior under conditions of large slip distances and stress reversal. Main tasks The PhD candidate will be exposed to cutting-edge techniques in observational earthquake seismology and will augment
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