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Research Infrastructure? No Offer Description The objective is to develop advanced algorithms for AI-enabled semantic and robot-control-aware communication with a particular focus on the management and
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safety. Activities will include the development and evaluation of pipelines for document extraction and semantic indexing, RAG systems and knowledge graphs, the integration and evaluation of Large Language
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(union, intersection, negation) and semantic subtyping. These techniques are currently being integrated into the Elixir compiler; Elixir and Erlang are the main validation ground of the project. The thesis
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Semantic Enrichment & CIT Automation, focusing on the evolution of the OCRA, VTL, and CIT prototypes into scalable and production-ready services, incorporating advanced Artificial Intelligence capabilities
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 Postdoctoral Researcher position in the line of research: "Ontologies and knowledge graphs for semantic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
, phonology, morphology, syntax, semantics, language acquisition, sociolinguistics, computational linguistics, and historical linguistics, and a joint MA/PhD program in Hispanic Linguistics in conjunction with
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-mail [email protected] Requirements Research FieldOtherEducation LevelPhD or equivalent Skills/Qualifications - focus on cognitive narratology and semantics, - personal aptitude for research and teaching
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
. * Optimize SQL queries, transformations, data pipelines, and reporting datasets under the guidance of senior technical staff. * Develop, maintain, and support Power BI reports, dashboards, semantic models, and
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. Covers the core theoretical subfields of linguistics: phonetics, phonology, morphology, syntax, and semantics. Also provides background on other subfields including sociolinguistics, pragmatics, historical
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Intelligence (LLMs, RAG) and Cloud services. Functions to be developed: Assist in optimizing data ingestion, preparing datasets, and designing vector database structures/bases for semantic queries. Design