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, hybrid retrieval (BM25 + embeddings), graph databases (e.g., Neo4j), RDF/SPARQL, schema mapping, entity resolution. 3. Research Fit: Interest in applied research with real operational datasets. Motivation
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, hybrid retrieval (BM25 + embeddings), graph databases (e.g., Neo4j), RDF/SPARQL, schema mapping, entity resolution. 3. Research Fit: Interest in applied research with real operational datasets. Motivation
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projects. o Strong proficiency in data science and programming (Python preferred; experience with pandas, NumPy, scikit-learn; SQL). o Practical experience with ontologies/knowledge graphs (RDF/OWL
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