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-class teaching and research in medicine and STEM . Its more than 10,000 students are distributed among the faculties of medicine, engineering, computer science and psychology, mathematics and economics as
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data structures, machine learning, computer graphics and vision, database systems, artificial intelligence, logical methods, programming languages, computer architecture, and security, to name but a few
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conflicts following the end of the Cold War are just one example. The programme trains junior researchers and professionals in globalisation research. It qualifies them for employment, among others, in
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resources, it is not surprising that students are drawn to Berlin. In addition to four major universities (Freie Universität, Humboldt-Universität zu Berlin, Technische Universität, and Universität der Künste
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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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network adaptation is crucial for optimal perfusion. In living systems, network architecture constantly changes in response to environmental stimuli towards uniform flow to optimize transport. Combining
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of specialization include: Web Application Engineering Model-based Systems Engineering AI for Software Engineering Software Engineering for ML Big Data Architectures Cloud Architectures Contribution to Software
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architectures which leverage our increasing understanding of the behaviour of neural networks trained with DP to ameliorate these trade-offs in biomedical applications. - Foundations of private machine learning
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. The Institute of Turbomachinery and Flight Propulsion is pursuing research in technologies of future aero engine architectures for the next generation of aircraft. In this context, the development
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Flight Propulsion is pursuing research in technologies of future aero engine architectures for the next generation of aircraft. In this context, the development of turbomachinery and the integration