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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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. Simulated sensor data from a digital shadow will be incorporated to maintain cyber-physical consistency between the UAVs’ status in the model and in the real world. A key goal is to develop methods
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directly on our real test vehicles (see image) for automated driving. Application of modern software engineering approaches (e.g., agile methods, model-based development, CI/CD pipelines) in concrete
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