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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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studies. Your job In this project, you will develop a quantitative theory of evolution that can be tested directly against large-scale viral genomic data. The central challenge of this project is to connect
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divisions: Algorithms, AI & Data Science, Software and Interaction. The atmosphere is collegial and informal. In the Intelligent Systems group we focus on fundamental and applied research in the area of safe
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. Tasks Analyze how densification is performed in cities, focusing on how environmental and design requirements are defined and negotiated in practice. Examine how actors legitimate their positions through
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design requirements are defined and negotiated in practice. Examine how actors legitimate their positions through discourses, and how institutional arrangements resolve, or fail to resolve, tensions
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and statistical software Disseminate the research in conferences and other relevant events. Your qualities Essential We are looking for someone with a background in one of the following disciplines
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will Conduct high-quality methodological research in the field of small area estimation Write academic articles, blog posts and statistical software Disseminate the research in conferences and other
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for society. The animal-free biomedical translation centre provides an excellent context for further developing and testing these responsible research and innovation methods iteratively and contributing
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citizen collectives can mobilise large sections of the population for sustainability transitions. You will examine how collectives and their networks reach beyond their immediate communities, how they build
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artificial intelligence: ensuring that AI systems are transparent, interpretable and aligned with human needs and values. You will focus on developing, testing and reviewing a methodology to make AI systems