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architectures; • strong programming skills in Python and experience with a deep-learning framework such as PyTorch, including training and evaluating models on GPU/HPC infrastructure; • experience working with
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of groundwater-model concepts and parameters, calibration, sensitivity analysis, scenario analysis and uncertainty assessment. Programming and data-analysis skills in a reproducible scientific workflow
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