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, MATLAB, or similar. Experience with numerical modelling and simulation, preferably using finite element (FE) and/or multibody dynamics (MBD) approaches. Ability to collaborate effectively with academic
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, physics-based numerical models will be developed to simulate train–track–bridge dynamic interactions and their resulting structural responses. The health condition of railway tracks on bridges will then be
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, Physics, Materials Science, or a related discipline. Strong background in condensed matter theory, electronic structure methods, many-body physics, and molecular simulations. Knowledge of magnetism and open
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materials (Goswami group) and a theory group (Wimmer group) for numerical simulations. We welcome applications from motivated and passionate experimentalists with a background in low-temperature electrical
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, plant & animal health. Where to apply Website https://www.academictransfer.com/en/jobs/362601/phd-behavioural-economic-modell… Requirements Specific Requirements We are looking for an enthusiastic and
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components. You will explore how learning-based methods, such as imitation learning and reinforcement learning, can be integrated with model-based low-level controllers and multimodal sensing to enable contact
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degree in a STEM field. You love physics and complex systems and are either familiar with, or very eager to learn about, (road) network traffic flow theory and simulation. You are a machine learning
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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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processes using 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
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, enabling breakthroughs such as memory-enhanced quantum communication, entanglement-based quantum networks, long-term quantum information storage, and complex quantum simulations. While these demonstrations