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develops guidelines. She also leverages complexity theory in connecting experts in a range of disciplines to work together on practical methods for application in medical research and guideline development
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the brain learns to deal with a larger social environment. The insights obtained from the research of Eveline Crone can help to structure education and society more effectively with a view to the
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Application deadline: 15 May 2025 Apply now Are you fascinated by the complex ways our social environments shape health? Do you want to develop cutting-edge methods to measure social networks at a population
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these policies. Moreover, this project will consider the interaction of governance structures with the normative field of actor behaviour to better understand society's emerging and constantly changing
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structures with the normative field of actor behaviour to better understand society's emerging and constantly changing relationship with AI. Indeed, the global governance of AI raises novel questions from
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approaches that predict the static structure of proteins have become invaluable tools for biologists and medicinal chemists, machine learning-based prediction of protein dynamics is still in its infancy
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fulfil its biological function. While machine learning approaches that predict the static structure of proteins have become invaluable tools for biologists and medicinal chemists, machine learning-based
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bridges as components in new bridge and building structures, thereby contributing to a fully circular economy. The central question for this PhD study is: Can we reuse steel bridge members in new structures
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-set that will prepare you for a future in research in a world where there is an increasing need for professionals with hands-on experience with complex assessment algorithms. This position is funded by
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prototypes currently being developed within the consortium. In close collaboration with senior lab members, you will use our multi-scale computational fluid-structure interaction framework that describes