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cutting-edge microfluidic experiments with advanced numerical modeling. Your work will enable upscaling from pore- to column-scale clay behaviour under real-world conditions relevant to sustainable
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interactions in numerical ice sheet models, reducing uncertainties in future projections of the contribution of Greenland to sea level rise. The PhD position is embedded in the GreenLand’s ice-Ocean interactions
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, support decision-makers, and advance debris-flow modelling for future research. In this PhD, you will carry out field measurements and run numerical simulations to better understand and predict debris-flow
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contribute to a major research project to improve our understanding of macroplastic pollution in coastal seas. Working at the intersection of numerical modelling and observations, you will develop simulations
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mechanism underlaying plant interactions with this novel class of microbes. This knowledge will help us understand how to fine-tune suberization patterns for optimal crops stress protection. This ambitious
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Microscopy Center. The project further benefits from excellent dedicated CPU and GPU computing infrastructure to support large-scale numerical modelling and data analysis. This is a full-time, two-year
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dedicated CPU and GPU computing infrastructure to support large-scale numerical modelling and data analysis. You will receive extensive training in these techniques as part of your PhD project and will work