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, Cascais, Riga, Vilnius, Melsungen, Ciampino, Urla and Rhodes. The PhD project will involve: The use of data analytics (statistical models, machine learning, uncertainty quantification) to monitor and
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that lead to lower infrastructure demand in the long run and reveal pathways to turning points in infrastructure use through a systemic modelling approach. Essential activities within your project will be
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