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of information retrieval, natural language processing, semantic technologies and human information interaction as foundation for innovative web portals and platforms for the search and use of research data. KTS
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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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, 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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 12 hours ago
observations, and transform them into structured, model-ready representations. Through embedding-based retrieval and semantic geophysical indexing, the AI system will organize and synthesize disparate datasets
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strategic, operational content initiatives. Knowledge of meta tagging and web/app optimization. Apply meaningful headings, semantic structure, and sensory characteristics to content. Experience creating
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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
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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implement computer vision pipelines for crop monitoring, plant stress detection, and disease identification in greenhouse environments. Apply machine learning and deep learning models (semantic segmentation
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, conducting user studies, and/or programming is an advantage. Experience working in interdisciplinary environments. Background in linguistics (e.g., pragmatics, semantics, conversation analysis) Experience
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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