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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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contribute to open science practices. Responsibilities are: Planning and conducting large-scale cross-sectional data collections Independently performing appropriate statistical and computational data analyses
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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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Posting Summary Logo Posting Number RTF00024PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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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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methods to biological problems Experience with database querying, management systems, and data extraction techniques for large datasets Knowledge of natural language processing (NLP) and/or large language
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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
configurations. The software can assimilate large datasets and perform adjoint computations, inverse modeling, and uncertainty quantification. It has enabled breakthrough scientific discoveries and supported
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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