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aforementioned data set; (b) devising groundbreaking theoretical models of societal response to climate change; (c) testing the project predictions and designing methodologies able to tackle endogeneity issues
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Sustainable composite STructures for supporting the decision-making and resilience of the society Of the future”. This project develops transdisciplinary models that integrate traditional finite-element physico
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tasks: Develop machine learning and deep learning models for weather and climate (e.g., nowcasting, climate downscaling). Design and follow projects related to AI models for weather and climate Supervise
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of the Alps. At the Institute for Earth Observation, we specialize in monitoring environmental processes in mountain regions using satellite and climate data. We manage extensive EO datasets and foster
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approaches applied to different science domains, such as chemistry, materials, physics, imaging, drug discovery, climate/weather forecast, etc. Knowledge of implicit deep learning models (NERF, neural