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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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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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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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skills in one or more scientific computing environments, such as Python, MATLAB, or similar. Experience with numerical modelling and simulation, preferably using finite element (FE) and/or multibody
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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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modelling is an advantage. Strong quantitative skills and interest in statistical modelling, or simulation approaches. Experience with R, STATA, Python or similar software. Ability to work independently and
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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