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the field of cardiovascular diseases. In particular, we are interested in new AI solutions for risk assessment and patient management. The project will build on a unique set of big data repositories, real
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access to data and observational facilities available to the BlackGEM survey consortium and will be involved in the large international collaborations of Transients and Variable Stars Science (LSST), and
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programming Expertise in additional quantitative research methods (e.g. time-use analysis, system dynamics, machine learning, econometrics, advanced statistics, big data, material flows analysis, etc
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PhD in Physics, Astrophysics, or related fields by the time the contract starts. Previous experience in binary evolution, observational time-domain astronomy, large transient surveys, and modelling
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, to train inclusive AI algorithms, by combining big data from existing repositories with small-size imaging studies from low-resource settings. These positions offer the opportunity to take part in