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Field
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implemented [3]. Knowledge bases (KBs) play a crucial role in RAG strategies for integrating semantic modeling of the educational context [4, 5]. However, despite their usefulness and effectiveness as personal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
. The Department of Genetics invites applications for an IT Analyst/Programmer (Semantic Engineer) in the Translational and Integrative Sciences Laboratory (TISLab.org). This IT Analyst/Programmer
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capabilities to localize and map their operational environment, in order to gain situational awareness. We have been working on vision-based semantic SLAM algorithms to imbue the log-loading machines with
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of empowering citizens for the use of such technology. This work will be developed with the support of the interplay of Semantic Technologies (e.g., ontologies, knowledge graphs) and Artificial Intelligence
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concreteness play in their communicative effectiveness. The postdoctoral researcher will conduct the collection of semantic norms, annotations, and statistical analyses of data related to predicative metaphors
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expected to be an AI expert, but have a strong interest in applied mathematics with at least basic programming competency. You will be working for a world-class team working on Applied Semantics. This is a
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Your Job: You will join a heterogeneous team of software developers, semantic data engineers, metadata experts, and scientists. Your work will be strongly hands-on and centered around the Helmholtz
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and implementing NLP pipelines for clinical text processing, semantic annotation, and representation learning Developing embedding-based representations of clinical variables and documents to support
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facilities Develop robust data pipelines and frameworks using Python and modern data technologies suitable for high-performance and distributed computing environments Apply ontology engineering and semantic
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of such technology. This work will be developed with the support of the interplay of Semantic Technologies (e.g., ontologies, knowledge graphs) and Artificial Intelligence. Moreover, domain explanation requirements