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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
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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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, 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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to December 31st 2027) The department Knowledge Technologies for Social Sciences (KTS ) conducts research at the intersection of information retrieval, natural language processing, semantic technologies and
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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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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
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thrives in a collaborative, mission-driven environment. The Utah DCC supports large-scale health data infrastructure that underpins national emergency response, clinical registries, and federal research
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thrives in a collaborative, mission-driven environment. The Utah DCC supports large-scale health data infrastructure that underpins national emergency response, clinical registries, and federal research
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stack—including ETL, data models, 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