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, and curated semantic datasets for analytics and downstream consumption. Develop scalable transformation and modeling layers using dbt (or equivalent) and data modeling best practices (Kimball
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informatics, clinical data modeling, interoperability standards, and methods for transforming EHR and operational data into actionable knowledge. Appointees may pursue methodological work in semantic data
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Enablement • Collaborate with SSA analysts, data scientists, and functional partners to support complex analyses and reporting needs. • Develop and maintain data tables, views, and semantic layers that support
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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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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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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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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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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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. 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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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