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to test theoretical hypotheses and identify new regularities; contribute to an interdisciplinary research environment at the interface of physics, epidemiology, and complex systems. This position offers
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to an interdisciplinary research environment at the interface of physics, epidemiology, and complex systems. This position offers the opportunity to work on a problem where theory, data, and societal relevance meet. The
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and understanding of complex biological systems and biodiversity. You will get the opportunity to learn about both simple and complex biological models, computer programming, data visualisation, and
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reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and learning algorithms
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decision-making and reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and
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underexplored. Rather than functioning as neutral tools, algorithmic models translate complex realities into scores, rankings, classifications, and predictions. In doing so, they shape how problems are defined
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of research); has experience with large-scale, complex data sets and advanced statistical methods; enjoys doing research and reporting the results in scientific articles; want to share scientific knowledge with
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; Process and interpret complex datasets to identify exposure patterns and determinants; Design and evaluate intervention strategies, including HEPA filtration and behavioural guidance; Collaborate with
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Application deadline: 31 January 2026 Apply now Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata
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theoretical physics. Particularly important are invariants counting vector bundles (or sheaves) — central objects in modern geometry and physics. However, the theory is mostly developed over the complex numbers