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the atomic and molecular level to complex structures, processes and properties. Our research bridges fundamental science and applied engineering, with core strengths in sustainable materials development
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life in its complexity. We ask fundamental questions about life and contribute knowledge about how human beings create meaning, interact, flourish and participate in society. The Department has
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: fluctuating renewable energy, dynamic electricity prices, and increasing system complexity. In the future, industrial energy systems will not simply run. They will understand themselves. They will learn from
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with human life in its complexity. We ask fundamental questions about life and contribute knowledge about how human beings create meaning, interact, flourish and participate in society. The Department
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Learning models to understand and predict interactions in dynamic ecological networks. Our lab is looking for candidates for the following stipend: Learning the Structure and Dynamics of Complex Networks We
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welcome applicants who are curious, analytically strong, and eager to engage with complex real-world transition processes. You are expected to work independently and in a structured manner and to be able
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implementation is an advantage Strong problem-solving and analytical abilities Ability to work independently and structure complex research tasks Interest in interdisciplinary research at the interface
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pedestrian comfort, even in complex crowd scenarios. The research moves beyond predefined or rule-based behaviours by integrating online learning and adaptation with formal safety guarantees. The project will
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to translate complex model results and data analyses into new general insights about shallow groundwater behavior in cities. The project is carried out in close collaboration with COWI and Danish water utilities
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grow in complexity and scale, traditional monitoring approaches are insufficient to ensure efficient, reliable, and fault-free operation. This project will develop novel AI methods that bridge first