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, geographical and theoretical approaches including, among others, network theories, connected history, reading history, medical humanities, material culture studies, postcolonial perspectives, and digital
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control synthesis methods. We invite highly motivated students with a strong background in discrete-event systems, supervisory control theory, and formal methods to apply for the PhD position within
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of advanced theory formulation and method development as well as systematic integration of theory and empirical research. The student will be trained in the ICS. The Interuniversity Center for Social Science
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programs. Alternatively, Mathematics, Computer Science, Computer Engineering, Electrical Engineering, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent
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that allow you to: understand and apply quantitative (statistical, econometrical, analytical) methods, understand regulation-related theory and practice; motivation to do high quality research with the aim
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that enable interpretable models to learn from deep representations. In this project, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge
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design. Their research contributes to the theory and practice of sensory and cognitive communication and augmentation design and the section is unique for its cross-disciplinary approach to design for real
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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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-based PhD program. The department has a strong commitment to theory development and innovative research, but we also prioritize the societal value of our research and devote ample time and attention
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aerosol transformations inside fire plumes. Explore the link between vegetation dynamics and fire emissions. You will work at the intersection of satellite observations, modelling, and theory, and your