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We invite you to apply for a 2-year postdoctoral position in the area of hybrid AI, combining modern language models (LMs) with ontologies and knowledge graphs (KGs). The position is part of a newly
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on understanding the heterogeneity and complexity of aging and cognitive diseases such as Alzheimer's disease. Our research has a strong focus on advanced imaging techniques in combination with
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Sapere Aude – dare to know – is our motto. Our students and employees develop important knowledge that enrich both the individual and the community. Our academic environment is characterised by
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aims to contribute new knowledge about the emerging normative foundations of society in the wake of today’s divergent mobilizations. The project is led by Professor Mia Liinason. Read more about the
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communication skills in English The following experience will strengthen your application: Knowledge of quantum computing concepts, quantum algorithms, or quantum-inspired methods Experience with hybrid quantum
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modeling builds on agent-based modeling but focuses on relations, not agents, and emphasizes the role of the researchers and their tools in constituting the model and the generated knowledge (Schlüter et al
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both dogs and owners, and how these relate to each other. In the long run, the results may provide knowledge relevant to breeders, rehoming organisations and dog owners, with the aim of improving
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quantification - Good knowledge of existing structures, particularly concrete structures and bridges - Strong publication record - Excellent proficiency in spoken and written English, and the ability to work
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anti-gender networks, religious fundamentalists, conservatives, and far-right movements opposing these advancements. The research project aims to contribute new knowledge about the emerging normative
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processing methods, poor mine waste management, and improper mine closure can result in serious environmental and public health risks. Currently, knowledge regarding the environmental impacts of REEs remains