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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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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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high profile both in the Netherlands and internationally and is strengthened by the many young researchers working on innovative projects with as doctoral candidates and post-docs. It has been
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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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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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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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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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transmitters, DPD algorithms, and analog/mixed-signal challenges. For more details about the DISRUPT project, please visit: https://elca.tudelft.nl/Research/project.php?id=243 https://www.linkedin.com/posts/tu
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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