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Field
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Flooding stands as the most prevalent natural hazard. However, whilst substantial research effort has been reported in the last decade to develop high-performance physics-based models for more
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centres on developing predictive frameworks that accurately forecast match outcomes and league positioning through sophisticated data analysis. The candidate will implement machine learning techniques
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-tuebingen.de/climatology ). The group is led by Prof. Kira Rehfeld. We are offering a PhD position on Climate and Environmental modelling, and your job would be to test the impact of carbon dioxide removal in a
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model checking. You should be well versed in basic statistics and practical programming skills is a must. Knowledge about the inner workings of GenAI would be nice but not necessary. You must have a two
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faculty and university research policies . You act with attention to quality, integrity, creativity and cooperation. You can demonstrate an interest and abilities in theoretical modelling in economics and