2 affective-"https:" Fellowship positions at LNEC, I.P.

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

Call for awarding a part-time (50%) research fellowship (RF) within the scope of the activity “Seismic hazard assessment for the National Annex of Eurocode 8-Part 1”

LNEC, I.P. | Portugal | 3 months ago

the European seismic hazard map and the new national map for Portugal. - Assess the impact of updated hazard values on damage estimates, structural safety, and economic losses. - Develop an updated seismic risk