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Field
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quantum networks, long-term quantum information storage, and complex quantum simulations. While these demonstrations point to a wide range of applications, critical challenges regarding color center physics
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performance on an innovative VTOL platform (https://aerogriduav.com/ ). AI models to predict ship motion to optimize landing timing. You will work at the MAVLab, which is part of the Control & Simulation
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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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from advanced centrifuge tests with numerical simulations. We are looking for candidates with a PhD in geotechnical engineering and proven experience in numerical modeling of offshore foundation systems
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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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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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, which is part of the Control & Simulation department of the Aerospace faculty at the TU Delft. The MAVLab is a growing group of enthusiastic researchers with expertise in control, MAV design, and
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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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, focused on surrogate modeling. The goal of SmartEM is to develop surrogate models, or systems of surrogates, for complex industrial systems or their high-fidelity simulations. The European project will