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microdroplets, microfluidic channels and real porous building materials (limestone and sandstone) under controlled environmental cycling that simulates realistic heritage environments. Using advanced imaging and
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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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like Geolab and Earth Simulation Lab , and to excellent high-performance computing facilities. We are a lively department that hosts an active early career community (PhD-students, researchers and
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in the project by contributing expertise on Urban Airspace (UTM) operations, modelling and simulation. Next to your thesis work you will also work in the TUNED project, where you’ll cooperate in
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candidate to join our team and work on this exciting project. The PhD project will encompass theoretical and numerical modelling, necessary to simulate and optimise the effect of surface modifications
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, logistics, and digitalisation. The PhD candidate will develop digital factory models, simulations, and planning tools that support the design and operation of circular AM-enabled factories. Crucially
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to calculate and explore absorbable iron, zinc, calcium and vitamin A in foods and meals. The platform will be used to simulate how relatively simple changes in food composition, meal structure, or dietary
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of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after
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theoretically rich and highly relevant for contemporary organizations. You will work on a multi-method research programme combining behavioural experiments, simulation-based decision tasks, and physiological
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climate simulations. This work will quantify the contribution of extreme events to glacier runoff and mass loss, improve predictions of future glacier change under multiple climate pathways, and provide