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research fellowship (RF) in the scope of the research project AQUALEARN – Machine learning-based digital twins for real time anomaly detection in water supply systems.

LNEC, I.P. | Portugal | about 1 month ago

, and to better understand the impact of anomalies on hydraulics and water quality in distribution networks; Implementation in EPANET-MSX of water quality models for water distribution networks; Advanced

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