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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 | 30 days ago

: Development and calibration of numerical models of pilot networks to explore the use of multiple monitored parameters (pressure, flow rate, basic and advanced water quality parameters) for anomaly detection

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