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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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-driven modelling in dynamic networks. Modelling and control of linear parameter varying systems. Spatial-temporal multi-physics systems and model reduction. Data analytics, machine learning, artificial
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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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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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Motivated researcher, with a PhD in Mathematics, Computer Science, or related discipline(s). Ability to conduct high quality academic research, reflected in demonstratable outputs. Ability to teach
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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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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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Professor in the Chair of the Urban Planning and Transportation Group? Are you eager to supervise BSc and MSc students and co-supervising PhD candidates, and teach lectures/courses and supervise student
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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