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that can be tested directly against large-scale viral genomic data. The central challenge of this project is to connect microscopic evolutionary mechanisms—mutation, selection, and ecological feedback
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microscopic evolutionary mechanisms—mutation, selection, and ecological feedback—to macroscopic, population-level observables in rapidly evolving pathogens such as SARS-CoV-2 and influenza. Concretely, you will
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May 2026 Apply now Are algorithms neutral tools, or do they actively shape the world they model? In this PhD, you will bridge the gap between building and critically studying Human-Centred AI systems
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learning algorithms. Personalizing user interactions by building models that adapt explanations to specific knowledge levels and interests of users, so that user modelling and formal reasoning transform
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transcription factors via dual-luciferase-based trans-activation assays. Develop TurboCas methodology for plant use, Test candidate genes and evolutionary conservation in planta via transgenic approaches
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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