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University (UU) and prof. Laura Ragni at the University of Freiburg (U-Fr), funded by a NWO-DFG WEAVE grant. The project aims to understand how a complex network of conserved MYB transcription factors is
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advances in our group, including new methods for detecting learning signals in linear networks that reveal aspects of the tasks they have learned, provide a powerful conceptual starting point. The scope
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this position, you will develop high-fidelity block-based numerical models capable of representing the geometric and mechanical complexity of historical multi-wythe masonry. Your work will involve analysing how
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stakeholder analysis, using methods such as literature review, qualitative interviews, and network analysis to identify key actors, trust flows, and governance dynamics. Building on these insights and those
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Bilevel programming (BP) is a powerful mathematical framework for modeling hierarchical decision-making processes involving two players: a leader and a follower. In energy network design, for example
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, or materials informatics. Familiarity with explainable AI or counterfactual explanation methods. Experience with molecular dynamics data, graph neural networks, or multi-component system modelling. Track record
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engineering using genetic modification can solve some of these problems, but introduces regulatory complexities and biological challenges of it’s own. Epigenetic editing, the controlled reprogramming
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-design research, policy analysis, discourse analysis), and the ability to design and independently execute complex empirical research projects; excellent analytical and theoretical skills, including
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societies govern complex human, animal and environmental health challenges? Do you enjoy working across disciplines, engaging with diverse partners, and translating research into actionable strategies
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; the advent of the Solar System internet and the associated challenges in network management and operations concepts, for example, new forms of user-machine interfaces, such as AR/VR; new ways to leverage