Digital twinning of complex epidemiological systems featuring heterogenous variables by means of statistical modelling and machine learning

The researcher will participate to the development of digital twinning solutions for complex epidemiological systems featuring heterogeneous variables. The investigation will focus on porting to epidemiological systems solutions originally developed for production systems, in particular based on the combination of spatial-temporal statistics and machine learning technologies