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, AAAI). Demonstrated expertise in at least two of the following areas: semantic parsing or structured NLP knowledge representation, reasoning graphs, or GNNs natural language generation, explainability
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science and industry. With the Open Research Knowledge Graph (ORKG ), we are working to revolutionise the exchange and use of scientific knowledge in the digital age. The Technische Informationsbibliothek
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of BNITM Willingness and ability to travel abroad for shorter periods to support field research in Southeast Asia and Africa (approx. 2 months per year) Prior knowledge in quantitative data analysis (ideally
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writing. Attractive compensation according to TVöD/VKA Secure employment with meaningful work and respectful collaboration Comprehensive onboarding and open knowledge exchange within the team Extensive
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framework for AI in gynecological oncology. We integrate symbolic knowledge representation (Ontologies/Knowledge Graphs) with Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to create