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industry stakeholders and will be responsible for research on distributed query processing and information retrieval for text and RDF files. Experience in Linked Data and Semantic Web technologies is
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industry stakeholders and will be responsible for research on distributed query processing and information retrieval for text and RDF files. Experience in Linked Data and Semantic Web technologies is
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responsible for research on distributed query processing and information retrieval for text and RDF files. Experience in Linked Data and Semantic Web technologies is essential, while familiarity with approaches
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. To explore and investigate this topic, the project will combine formal methods, programming language theory and semantic technologies, aiming to develop systematic techniques for handling protected data
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files. Experience in Linked Data and Semantic Web technologies is essential, while familiarity with approaches related to redecentralisation of the Web and testbed development is highly desirable
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aspects of knowledge modelling. Familiarity with semantic technologies (e.g., OWL, RDF, SPARQL), knowledge graphs, and data transformation pipelines. Experience with — or strong interest in — applied AI
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explore techniques to handle protected data in digital twin architectures. To explore and investigate this topic, the project will combine formal methods, programming language theory and semantic
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understanding of both foundational and philosophical aspects of ontology, as well as informatic and computational aspects of knowledge modelling. Familiarity with semantic technologies (e.g., OWL, RDF, SPARQL
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Familiarity with retrieval-augmented generation (RAG) and knowledge graph applications Experience with semantic search, ontology development, and cross-domain data integration Background in clinical safety