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/knowledge graphs, and carbon accounting. The Research Fellow will help develop and lead the CognitionX Lab (https://cognitionx-lab.github.io/ ) with Dr. Jinying Xu, Assistant Professor and Director of
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) Familiarity with semantic technologies (ontologies, RDF, SPARQL, etc.) Experience with graph databases and triple stores: Neo4j, ArangoDB, or Apache Jena Fuseki Collaborative software development: use of Git
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shaping strategy. What you will do: Lead research into metadata-driven health informatics using RO-Crate Investigate validation mechanisms (e.g. SHACL, SPARQL), semantic schemas and provenance profiles
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, such as software testing and runtime verification. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv Main responsabilities: Tool Extension & Integration: Develop a
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. Familiarity with ontologies (e.g. OWL), knowledge graphs (e.g. Neo4j, GraphDB), and system integration tools (e.g. APIs, SPARQL) would be highly desirable. This role would suit an individual with excellent
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language processing, or LLM training first experience with semantic web technologies (OWL/SPARQL) and ontologies first experience in conducting research projects with scientific partners and industry Leibniz-IWT is a
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-line skills (e.g., sed, awk, grep, shell scripting). Experience with Semantic Web technologies (e.g., linked data, RDF triplestores, SPARQL, ontologies). Experience with structured data technologies
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ontology alignment in physics and materials domains Build and maintain ontologies, OWL/RDF knowledge graphs, SPARQL endpoints, and open benchmarking suites to guarantee FAIR, reusable research data Mine and
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digital repository which supports FAIR data and software by offering curation, sharing, long-term access and preservation (https://data.4tu.nl/). The repository has a broad community of users and supporters