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domains. The scientific outcomes are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape response to climate
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industrial domains. The scientific outcomes are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape response
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causing these variations in A and F stars. Using asteroseismology, we aim to detect and analyze near-core and surface magnetic fields. This involves comparing theoretical models with photometric
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The project’s focus will be on modeling novel silicone polymers and elastomers and developing mechanical design for storage of energy in the form of large elastic deformations. A close collaboration with chemists
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farm-scale modelling of nutrient flows. Food security, climate change and loss of biodiversity represent three of today’s major societal challenges. Finding solutions for all these challenges requires
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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-based simulation model for assessing future mobility technologies in the Greater Copenhagen region. Explore the development of machine-learning based scenario discovery for future mobility policy design