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interaction with neuronal networks underlying memory storage and retrieval. For this, you will execute stereotactic surgeries to deliver viral vectors to specific brain regions implicated in memory. Furthermore
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. The main research themes are Artificial Intelligence, Computational Science, and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative
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, we strive for equal opportunities for all, recognizing that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and
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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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with industry, the public sector and NGOs we rehearse possible futures in research and education to design for a complex future. Click here to go to the website of the Faculty of Industrial Design
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of new components for SmallSat missions, facilitate the integration of complex hardware and test the complete mission in all development phases. You will have a key role in the validation and verification
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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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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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and/or social policy evaluation, and can: Carry out independent empirical research at a high academic level, from data cleaning to publication-ready analysis. Work effectively with large, complex
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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