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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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experience and at least 1 year of relevant experience (with Bachelor's); 3 year's with Associate's. Strong background in artificial intelligence, machine learning methods (e.g., semantic segmentation, domain
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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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cognitive search. Develop Snowpark Python transformations, UDFs, and machine-learning features. Implement vectorized storage, model-serving patterns, and AI-ready data transformations. Support RAG/semantic
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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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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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(UNIBO, Italy), https://phd.unibo.it/etit/en Supervisors: Prof. Anna Guerra Project Context: The selected candidate will join the ERC Starting Grant project “CUE-GO – Contextual Radio Cues for Enhancing
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and branching policies, and shift left semantic, functional security testing of IaC. Problem Solving: Address and resolve the most challenging and ambiguous technical roadblocks, especially those
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. Relevant research directions include, but are not limited to: Symbolic, knowledge-based, and hybrid (neuro-symbolic) AI Knowledge graphs, ontologies, and semantic information systems Intelligent information
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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