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decision support systems will increasingly define the future. While significant strides have been made in the development of autonomous systems, their reliability and safety remain key concerns, particularly
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the opportunity you’ve been seeking. Join us to tackle some of the most intriguing and impactful challenges in the domain of wind energy, digitalization, and autonomous decision-making. We are looking for a
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and how these are maintained and dissolved. This presents a horizon both to statistical physics but also in cellular biology. It is known that cells can use liquid-liquid phase separations to produce
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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large dataset analysis, improving decision-making processes for awarding grants to firms and scientists. The PhD project could aim at the following issues: Improved Funding Decisions: How can we make
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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concepts improves decision-making, reduces costs, and enhances cross-functional collaboration. The project also addresses practical implementation challenges in existing industrial settings. A key focus is
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financial crises have highlighted the importance of household decision-making in influencing financial markets and determining aggregate economic activity. The research area of household finance focuses
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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well as developing solution algorithms applying mathematical and computational approaches. The group has a particular focus on automated decision making in autonomous cyber-physical systems. Autonomous systems and