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Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata into actionable answer maps. Join our ERC-funded
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to answer different kinds of questions. This PhD position focuses on understanding, interpreting, parsing and formalising geo-analytical questions. You will explore hybrid (symbolic and sub-symbolic) AI
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Production group, as a PhD candidate. We seek a PhD candidate who is eager to advance the future of software engineering and contribute to high-impact, internationally visible work while collaborating with
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. To fully understand these developments, this project explores the processes underlying reading and reading education, and examines how recent advances in artificial intelligence, particularly generative AI
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PhD: Semantic Modelling of Geodata Sources and Geo-analytical Workflows Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40