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of geology based on sparse observations requires a priori knowledge of geological processes and depositional environments. Near-surface geological models in Denmark achieve the highest precision when based
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, hydrological modelling, and machine learning to increase our understanding of the issues and to map and quantify the impacts of hydrological extremes on agriculture. The PhD position is for 3 years
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