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catchments in the European Alps, and how this affects debris flow. Using climate scenarios, we will also predict how debris flow hazards may change in the future. Our results will improve hazard assessments
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monitoring system to collect and analyze educational data and to predict the effects of potential educational interventions. Investigating the impact of generative AI on both the processes of reading and the
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unprecedented real-time visualisation of these processes, yet systematic investigation across diverse rock types and integration with predictive models remains lacking. In this PhD study, you will be performing
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suitable AI and Data Science techniques, with a particular focus on causal modeling and causal learning. Developing a monitoring system to collect and analyze educational data and to predict the effects
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satellite data analysis and coupled climate modelling, contributing to improved predictions of Arctic change and global sea level rise. The intended start date of position is flexible, but preferably before
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Application deadline: 5 January 2026 Apply now Do you want to develop predictive models that integrate omics and environmental data, advancing the field of precision prevention? Join the Institute for Risk
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offers a unique opportunity to develop strong skills in satellite data analysis and coupled climate modelling, contributing to improved predictions of Arctic change and global sea level rise. The intended