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data analysis. The research team develops algorithms and data structures with provable guarantees, by leveraging theoretical insights to obtain state-of-the-art practical algorithms. Currently, we have a
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machine learning (ML) methods to detect weld imperfections and optimize welding processes. As a doctoral student, you will focus on developing hybrid AI models, including: Convolutional Neural Networks
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mathematics, specialization numerical analysis The position involves developing multimodal AI models for medical imaging with physics-informed cross attention for connecting the various modalities in PET/CT and
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and its variants. The control of each agent will need to take into account information from other agents as well as changes in the environment. The doctoral student will develop novel algorithms
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digitalization. A main focus is on economic aspects and how digitalization enables the evaluation and development of new calculation models for the construction field. The work will be carried out in an active and