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Microsoft Fabric, Amazon Quick, and other enterprise analytics platforms. The incumbent develops trusted data products, enterprise semantic models, dashboards, AI-enabled analytics solutions, and self
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past and present. Topics include basic attentional processes and models, short-term and working memory, long-term processes, semantic and episodic distinctions, physiology of memory, and false memory
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past and present. Topics include basic attentional processes and models, short-term and working memory, long-term processes, semantic and episodic distinctions, physiology of memory, and false memory
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University of California, San Francisco | San Francisco, California | United States | about 5 hours ago
Manager, Web Platforms and Digital Experience Home ... Search Current Opportunities Job detail General Information Job Name Manager, Web Platforms and Digital Experience Department 4111100 - F IT
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linked data, BIBFRAME, and semantic web developments and the implications and opportunities available as they relate to metadata practice and the libraries’ discovery platform. Identifies
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Semantic graph modeling and visualization for text and document data Environment The Chair of Efficient Algorithms offers a collaborative environment with strong engagement in theoretical, applied
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the recurrent discourses running through this corpus, using semantic analysis methods (discourse analysis, graph-based methods, clustering, topic modeling, named entity recognition) combined with
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working with Semantic Web and metadata standards: HealthDCAT-AP, DPV, ORDL Experience programming in Python and working with machine-learning frameworks and libraries, e.g., PyTorch, TensorFlow
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(e.g. multilingual BERT, XLM-R), dynamic topic modelling, sentiment and moral-framing classification, and semantic-polarization scoring — over parliamentary debates, manifestos, news and social-media
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(DBMI) faculty cover multiple key disciplines of Biomedical Informatics, including Imaging Informatics, Bioinformatics, Clinical Research Informatics, and Semantic Web technologies in the life sciences