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be embedded at the Institute of Environmental Sciences (CML) at Leiden University and will be part of a broader interdisciplinary PhD and postdoc cohort working across Industrial Ecology, Urban Ecology
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, including abstract geospatial workflows; design AI- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute
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problems in the field. The PhD will be supervised by Yukihiro Murakami. You will have the opportunity to collaborate with postdocs, PhD candidates, and other faculty members of the research group. You will
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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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Vacancies PhD on Integrating Sustainability and Systems Thinking in Engineering Education Key takeaways The CLEAR initiative (Chemistry Learning for Environmental Action and Responsibility) is an
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22 Apr 2026 Job Information Organisation/Company University of Twente (UT) Research Field Educational sciences » Education Educational sciences » Learning studies Engineering » Chemical engineering
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simulations. You’ll be part of a five member ERC team (PI, technical/data engineer, postdoc and two PhD students—observations & modelling) in Dr Louise Nuijens’ broader research group. Job requirements We
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-physical systems secure and resilient in the presence of uncertainty and cyber-physical attacks? Then you may be our next PhD candidate in resilient and learning-based control of cyber-physical systems
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and democratic participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal
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participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal explanations. Your job AI is