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, optical) to produce soil moisture maps. Designing and implementing deep learning pipelines for super-resolution of remote sensing data. Applying explainable AI (e.g., Shapley values) to interpret model
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, geophysics, mathematical modelling, or related fields. The ideal candidate should have: Experience with numerical climate models (such as EC-Earth or similar GCMs). Advanced programming skills in Python
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, geophysics, mathematical modelling, or related fields. The ideal candidate should have: Experience with numerical climate models (such as EC-Earth or similar GCMs). Advanced programming skills in Python
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nature-based solutions that enhance local recharge and support the replenishment of shallow groundwater systems in dryland environments. The project combines shallow FEM with deeper ground-based TEM