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of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty
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single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative
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Discrete Element Method (DEM) models to simulate the charging and formation of multi-component, poly-disperse burden mixtures in the blast furnace. The goal is to optimize burden structure and permeability
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information era, enabling breakthroughs such as memory-enhanced quantum communication, entanglement-based quantum networks, long-term quantum information storage, and complex quantum simulations. While
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, and will play a key role in linking experiments with simulations from a companion PhD project. The work will involve close collaboration with industrial partners and is expected to provide both
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modelling and simulation. The team bridges fundamental science with practical, real-world applications, contributing to circular economy innovations. You’ll collaborate with scientists from MPRR, the GGS
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kinetics using experimental studies and process modelling and simulation. The team bridges fundamental science with practical, real-world applications, contributing to circular economy innovations. You’ll
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peptide translocation. Beyond COMSOL finite-element numerical simulations, the focus is on experimental characterization of various analytes in various modified nanopores by ion current measurements
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COMSOL finite-element numerical simulations, the focus is on experimental characterization of various analytes in various modified nanopores by ion current measurements, augmented by AFM, TEM and DIB
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acquire the right part of a specific course in a cost-efficient way. The aim of the project is to design new analytical and simulation models and solution approaches to support strategic and real-time