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Grant and coordinated by the Principal Investigator (PI), Dr Federico Pianzola. This is an interdisciplinary project at the intersection of NLP, Digital Humanities, and Semantic Web technology. Millions
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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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graph. Skills Technical skills: knowledge graphs, semantics web, Linked Data, LLMs, ChatBot Programming: Python, RDF, SPARQL. Relational skills: Ability to work in an interdisciplinary and international
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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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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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search the literature (both for researchers and students) and finding semantic concepts and results. Thus this KG should avoid re-inventing the wheel while helping uncover new relationships between
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structured and unstructured biomedical data, including EHR data, wearable sensor time-series data, or clinical annotations. Demonstrated ability to build interactive or web-based systems using frameworks with
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beneficial, but not mandatory. Optimally, you have expertise in one or more of the following research areas: Ontologies, Ontology Design and Ontological Engineering Knowledge Graphs and Semantic Web