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formalizes the synergy between physics, information theory, and machine learning, particularly focusing on computing with Oscillatory Neural Networks (ONNs). Project The project aims to formalize the synergies
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networks. Modelling and control of linear parameter varying systems. Spatial-temporal multi-physics systems and model reduction. Data analytics, machine learning, artificial intelligence. Constrained and
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for compositional methods that focus on extra-functional aspects, such as performance, resource budgets, security, or energy, pursuing hybrid, knowledge-driven and machine-learning-based, approaches. As a newly
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of the top departments in the world that conduct exciting research in the intersection of Design, Technology, Human-Computer Interaction, and Social Sciences and Humanities. In particular, the department aims
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, high-tech equipment (wafer scanners, printers, electron microscopes, wire bonders, pick-and-place machines, etc.) and cyber-physical systems. These sections include the Control Systems Technology (CST
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machine learning; a minor in mathematics is a plus; A strong interest in data mining research with focus on local pattern mining, exceptional model mining, or related techniques. Data mining software
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expertise ranges from cryptanalysis to machine-checking cryptographic proofs. To get an impression of our research, visit the cluster website as well as the personal websites of our team members. We have
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interaction to establishing correctness of software. We play a crucial role in both bachelor and master programs on Computer Science and Engineering and support bachelor programs in Data Science, Mathematics
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an accurate overview of the state of the art (intersection of urban planning, VR experiments, digital twining, big data and machine learning); as well as recent developments in this field of study in academics
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theory Machine learning Optimization and game theory Data-based control PDE control Large-scale and multi-scale systems Knowledge on relevant application domains such as, for example mechatronics, high