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integration of signal processing and machine learning methodologies aiming to interpret distributed acoustic sensing (DAS) data from production wells (both new and previously acquired sensor data). The main use
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, including establishing and operating field measurements Experience with remotely sensed data and data sources Competence and experience in hydrological, glaciological or geophysical modelling Strong
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