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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
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enterprise data into usable models (Snowflake preferred). Experience working with large-scale administrative systems such as Banner, Workday, Salesforce, or ServiceNow. Effective analytical thinking and
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departments. Familiarity with AI tools, including major large language models, semantic search and natural language processing, and AI-enabled OCR, and accessibility-focused remediation tools. Awareness
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University of Angers. More information here: https://www.univ-angers.fr/en/research/funding-and-projects/cap-europe/… Keywords: Computer Science – Semantic Web – Ontologies - Data mining - Data Integration
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named Penn one of America’s Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access
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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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pursues interdisciplinary research that integrates core domains of linguistics with computational methods such as artificial intelligence and big data analytics, seeking to generate outcomes with
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, semantic layers and Power BI—and is now leading the transition to Microsoft Fabric as the modern data platform. Working closely with analysts, service teams and senior stakeholders, the team ensures high
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by University leadership and stakeholders. Responsibilities Power BI & Data Modeling Design, develop, and maintain Power BI semantic models and datasets using dimensional and star-schema best practices
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conducting research "in the wild" (e.g., field deployments or data collection in real-world environments) Familiarity with current AI technologies (e.g., machine learning, large language models) and an