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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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the frequency, threat, and persistence of disease in both nature and agriculture. Your job You are a passionate computational biologist with an interest in ecology and evolutionary dynamics. During this project
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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