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, Cognition and Neuroscience, and the Centre for Translation Studies, which serve as vital hubs for both research and practical application. More information about the Department can be found at https
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, developing, and maintaining enterprise analytics and reporting solutions with a strong emphasis on Power BI semantic modeling, advanced DAX, and SQL-based analysis. This role supports university leadership by
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CT, ICD, OMOP or equivalent. Improve semantic interoperability. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-ptgas-staf… Requirements Research
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | about 2 months ago
include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools for semantic search
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the preparation of data and metadata for their future integration into the semantic web, with a particular focus on the technical aspects, by developing methodologies that enable the integration of musicological
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) 2 selected publications (links to publicly open URLs) Home page URL Google Scholar or Semantic Scholar URL (optional) Name of potential faculty mentors at Cornell (max 2 names; optional) 2 letters
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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
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performance of semantic search and retrieval systems Experience working with a variety of relational SQL and NoSQL databases, big data tools (such as Hadoop, Spark, Kafka), and at least one cloud provider
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | about 2 months ago
creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools for semantic search, interpretation
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integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use cases such as RAG, vector search, semantic layers, and agentic workflows. *Applicants