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, combines cutting-edge datasets with multivariate methods, and delivers spatially explicit tools for the attribution of compound events and impacts which might be ground-breaking to support adaptation in
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interdisciplinary research group dedicated to developing integrated approaches to geospatial systems analysis. Our team pushes the boundaries of how spatial data can be used to tackle today’s pressing environmental
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-focused attribution frameworks that integrates climatic and non-climatic drivers across sectors, combines cutting-edge datasets with multivariate methods, and delivers spatially explicit tools
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will evaluate potential biases among different measurement approaches —including thermochronology, cosmogenic nuclides, and suspended sediment records— and apply advanced statistical analyses and erosion
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Administration, Human Geography, Spatial Planning, and Environment. Our approach to teaching and research is evolving from multidisciplinarity, where we study societal challenges from different disciplinary
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, but also to develop approaches to prevent damage. In the project we aim to develop a numerical model to predict root growth. Your task as a Postdoc researcher is to develop a measurement and monitoring