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Switzerland, the project aims to better understand urban densification as a contested process of land rent creation and redistribution, thereby exposing tensions among actors, values, discourses, and
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physics, stochastic processes, statistical inference, and epidemiology, with SARS-CoV-2 and influenza as key case studies. Your job In this project, you will develop a quantitative theory of evolution
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peer-reviewed publications in the field of quantitative assessments of water resources quality (e.g. process-based modelling or physics informed AI) and preferably experience with planetary health
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-performance computing, natural language processing / text analysis, or privacy and ethical use of sensitive data. Has excellent level of English, both spoken and written. Teaching: Experience with teaching
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approached as a situated process emerging through the interaction of data, models, professional judgement, and organisational context. Depending on your interests and empirical setting, the project will
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to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . Selection process As Utrecht University, we want to be a home for
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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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)”, funded by the Swiss National Science Foundation. Focusing on case studies in the Netherlands and Switzerland, the project aims to better understand urban densification as a contested process of land rent
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predictive theory for rapidly evolving viruses. You will work at the interface of theoretical physics, stochastic processes, statistical inference, and epidemiology, with SARS-CoV-2 and influenza as key case
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University . Selection process As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic