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how Europe measures economic well-being at the local level. In this project, you will develop innovative small area estimation methods to produce high-quality composite SDG indicators, combining survey
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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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organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch). Completed academic courses in AI or machine learning. We consider it an advantage if you bring experience with
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general. To support academic and personal development, PhD candidates follow courses and assist in teaching Earth Sciences at Bachelor's and Master's level. Together these activities amount to twenty
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outcomes. Many of the good practices of co-creation take a rationality approach with limited conceptual and empirical examination and engagement about the role that emotions and values of people (as also
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candidates follow courses and assist in teaching Earth Sciences at Bachelor's and Master's level. Together these activities amount to twenty percent of the contracted time. Your qualities The project combines
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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
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curriculum vitae, including any courses taken that are relevant for the position; academic credentials (mark sheets and degree statements); a letter of motivation, No reference letters need to be submitted in
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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