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cooperation with Kopter Germany GmbH and the Engineering Risk Analysis Group of Prof. Straub, which provides information on both the health and the actual stress of helicopter components. For this so-called
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technology, project management, scientific writing, and presentation and other skills. Space missions and ground-based instruments, data analysis as well as theoretical and numerical modelling provide
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effective digital platform for analyzing, visualising and interpreting the condition of civil engineering structures. The digital twin models are created to represent the state and behaviour of structures in
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mechanical engineering, physics, applied mathematics or a closely related subject. Interests on: Structural mechanics and dynamics, Stochastic modelling and uncertainty quantification, understanding
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onwards. The research project focuses on regulatory T (Treg) cells and investigating their context-specific identity and function in B cell-driven autoimmune diseases. This collaborative project is embedded
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of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling
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mechanism. The integrating should enable to guarantee certain properties of the learned functions, while keep leveraging the strength of the data-driven modelling. Most of, if not all, the traditional
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environment, for improved monitoring and realizing high product quality. From the drawbacks residing in classical physics-based models and data-driven models we want to develop hybrid transformer models
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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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collaboration with other PhD candidates and researchers with medical and engineering background, perform innovative research on the topic of surgical video analysis, with the goal of developing deep machine