2 multiple-sequence-alignment 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 | 16 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

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 | 2 months ago

the OpenQuake platform. The development will be carried out in a collaborative environment, using modern programming tools and languages aligned with the project's needs (e.g., Python and QGIS). 8  - Location