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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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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
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types. Your algorithms will first be evaluated through simulation using real operational datasets, and later deployed and tested at two physical facilities: a kW scale testbed at TU Delft’s Green Village
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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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inspiration both in the Netherlands and abroad. Carolina Urzúa-Torres Mathematics, Delft University of Technology Carolina Urzúa-Torres develops mathematical simulations of electromagnetic waves in antennas and
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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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governance, simulation and modelling (agent-based modelling, discrete-event simulation, network models), data modelling / interoperability (e.g., ontologies/semantics, data standards, API-based exchange
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studies fundamental and applied aspects of multiphase flows, combining advanced experiments and state-of-the-art numerical simulations. Research focuses on dense dispersions, turbulence interacting with
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will be: 1. Advanced Numerical Modelling and Simulation: You will begin by developing a numerical model to simulate the complete thermal-fluidic performance of the magnetic refrigerator. This model will
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vitae, including a list of your projects, publications, and any other relevant items A copy of or a link to your MSc thesis or an example of your academic writing if the MSc thesis cannot be shared