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, you will develop innovative small area estimation methods to produce high-quality composite SDG indicators, combining survey, census, and non-traditional data sources such as web and satellite data
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Application deadline: 31 January 2026 Apply now Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata
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empirically develop, apply and evaluate, novel approaches to co-creation by including emotions and values and employing digital technologies (such as XR) with rural communities for fostering climate resilience
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% of your time will be devoted to teaching activities within our curriculum. Your work as a PhD candidate will be complemented by a complete training programme within the Graduate School of Natural Sciences
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techniques such as magnetic imaging, optical microscopy, (FIB-)SEM analysis, or microCT. Some experience with scientific programming (e.g., Python) and willingness to further develop these skills. Strong