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of Water Supply Systems, through a Smart Predictive Digital Twin and integration of AI for hydraulic modelling, real-time data analysis for advanced loss detection and system optimisation, reducing energy
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are preferential factors Proven experience in research in the fields of sustainable mobility, connected and autonomous mobility, traffic analysis, mathematical modelling and intelligent transport systems
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sufficient detail for the jury to be able to reproduce the procedure, in accordance with no. 6. The candidate must provide a form of name identification for the search; h) Any other elements that the candidate
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support laboratory experiments, namely cell culture and its characterization; will collaborate in data analysis and organization; and will participate in the preparation of scientific publications and in
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education institution). The following will be considered preferential factors: Demonstrated research experience in the fields of sustainable mobility, urban logistics, autonomous vehicles, traffic analysis