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of the department: Algebraic and arithmetic geometry, applied algebra, combinatorics, geometric group theory, geometry and geometric analysis, Lie theory, representation theory, number theory, and topology, as
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group focuses on probabilistic machine learning, interpretable AI, and intelligent decision-making systems, integrating rigorous theory with impactful applications. We collaborate closely with national
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to—doctoral education. Our aim is to develop “plug-and-play” solutions (such as methods, games, templates, simulations) and practices that can be readily integrated into current research and training
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Symbolic Artificial Intelligence (PSAI) research group focuses on probabilistic machine learning, interpretable AI, and intelligent decision-making systems, integrating rigorous theory with impactful
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of the creator economy, develop a new theory of organising and platform power, and provide policy recommendations for platforms and regulators. The PAY4PLAY team includes the principal investigator
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PhD in social sciences (e.g., management, sociology, technology and ethics, organization theory) Experience with qualitative fieldwork, especially in tech industries Knowledge of the academic literature
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physics and condensed matter theories to address the problem of fracture in complex materials. You will be working with experimental model systems and numerical simulations of materials that exhibit
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physics and condensed matter theories to address the problem of fracture in complex materials. You will be working with experimental model systems and numerical simulations of materials that exhibit
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practice as well as in theory. Your primary responsibilities will include: Investigate, develop and validate new models to simulate wind turbine response in HAWC2 at different fidelity levels. Validation
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-assisted control of large wind turbines. You will collaborate closely with both academic and industrial partners in Denmark and abroad, ensuring that your research has impact in practice as well as in theory