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ethnographic and creative methods, combining scholarly analysis with field-based, artistic, or community-engaged approaches. The position offers space to develop your own trajectory, while contributing to a
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of responsible human-AI collaboration. The successful candidate will become a member of the Multi-Agent Systems Group, Artificial Intelligence Department and will work under the supervision of Dr. Jakob Schoeffer
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nature-based solution, for climate change adaptation, biodiversity gain, and other ecosystem services to people. Key responsibilities: Analyse biodiversity data of birds, plants and insects from newly
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innovative pedagogies such as Challenge-Based Learning and complex learning environments by fostering higher-order thinking, transdisciplinary collaboration, and active student engagement. The research takes a
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the DROPapp by integrating local and scientific knowledge. In this project, you will integrate the local forecasts based on observed local ecological indicators and scientific forecasts based on numerical
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to the role of soil biodiversity in maintaining urban green spaces, and missing action-perspectives. In order to increase the knowledge base on how soil biodiversity can help mitigate drought stress in urban
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Engineering Laboratory, we develop model-based methods for designing and controlling ultra-precise systems. Building on the Dutch design principles legacy of van den Hoek, Koster, and Soemers, we specialize in
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of public space governance? We’d love to hear from you! Your duties and responsibilities include: Publishing a PhD thesis based on the project work. Teaching (10% of time) through contributions to the group’s
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clusters, such as ‘Global Futures, Colonial Pasts’, ‘Sustainable Transitions in Culture & Societies’ or ‘Popular Culture and Inequalities’. Job description The successful candidate will be based
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exposure, victimisation, and perpetration based on survey and social media data. You will also study developmental processes, potential consequences, and the role of parents in these processes. Your job