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and sustainable reuse. Research themes include dynamics of structures, mechanics of materials related to e.g. climate change, modelling and design of railway systems, multi-scale modelling of pavement
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, will be employed to identify indicators of track and bridge condition. In parallel, physics-based numerical models will be developed to simulate train–track–bridge dynamic interactions and their
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boils), and used in 3D groundwater flow simulations to predict BEP potential occurrence spatially. For this you can draw on the Dept. of Physical Geography’s unique expertise on geomorphology, geology and
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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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potential cause of coating irregularities (waviness) and rejection of the final product. In this project, we will apply combined experimental, theoretical, and computer simulation studies to bring detailed
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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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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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will also work in close collaboration with a partner group specialized in 2D materials (Goswami group) and a theory group (Wimmer group) for numerical simulations. We welcome applications from motivated
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for inclusive eHMIs. Design accessible VR simulators for people with disabilities. Conduct VR experiments to collect data and model decision-making processes in AV–VRU interactions. Conduct real-world testing
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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