1 condition-monitoring-machine-learning PhD positions at DAAD

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End-to-End Hydrological Modelling Using Machine Learning: Leveraging Transformers and Opportunistic Sensor Data for Hydrological PredictionsFull PhD

DAAD | Germany | about 6 hours ago

of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did

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