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business needs of the University. The Business Intelligence Services (BIS) team configures, maintains and monitors the enterprise Business Intelligence tool. The BIS team creates and maintains the semantic
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layers that connect heterogeneous data sources and metadata. Where it adds value, you apply semantic models and linked data technologies to enable structured integration. You also contribute to ontology
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, governance structures, and integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use cases such as RAG, vector search, semantic layers, and
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This project aims to advance representation learning in cybersecurity by developing deep learning architectures capable of extracting high-level, structured, and semantically meaningful representations from
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-develop next-generation supply chain analytics leveraging predictive modeling, semantic models, AI, and natural language processing for advanced projects (e.g., semantic item classification, opportunity
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of signal processing and machine learning algorithms for the extraction of acoustic, prosodic, and semantic parameters from voice recordings. Where to apply Website https://aunicalogin.polimi.it/aunicalogin
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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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or more relevant platforms or technologies, such as: Copilot Studio o Power Automate / Power Apps, Power BI and semantic data models, Dataverse or relational databases, APIs, REST/JSON integrations Python
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the future. https://nusit.nus.edu.sg/ Job Purpose Deliver enterprise-grade AI-powered applications using primarily but not limited to .NET and React, leveraging AI coding assistants throughout development
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or equivalent experience. ● Demonstrated experience with graph databases (e.g., Neo4j, ArangoDB), Cypher query language, and familiarity with RDF or semantic web concepts. ● Strong proficiency in Python and SQL