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research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross
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which are transferable to electronic LabBooks and data platforms of relevance for other researchers within the MaterialVital Hub. Lead the development of ELM-dedicated ontology for interoperability within
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ontologies and knowledge bases and their population with textual and sensor data Development of methods for the automatic quality assurance of heterogenous data Development of interactive assistants based
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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