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medicine Hands-on experience working with standard common data models: OMOP CDM, HL7 FHIR Hands-on experience working with Semantic Web and metadata standards: HealthDCAT-AP, DPV, ORDL Experience programming
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independently as well as with others in a high-paced research environment. Experience with eye tracking, EEG, R, Matlab, or Eprime would be put to good use, as would coursework in semantics, pragmatics, and
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Department of Philosophy, Linguistics, and Theory of Science, University of Gothenburg | Sweden | about 1 month ago
structured system, a social-cognitive capacity, and a situated form of action. It therefore includes both formal and/or computational modelling of the systems of conventions that constitute individual
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Language Model (LLM)–driven decision-making Real‑time digital visualisation in an immersive metaverse environment Multi‑source data fusion and semantic modelling Interoperable middleware and system
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world-leading research in programming language design, semantics, interactive theorem proving, and formal verification. About the research project We are looking for two Postdocs with a strong background
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generative artificial intelligence, machine learning, and ontologies to automatically align heterogeneous competency frameworks. The research will focus on: Formal modelling of competencies and educational
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technologies including semantic/task-oriented data processing, signal processing, and network resource management to improve the performance of future wireless communication systems. Finally, due to the large
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, semantic analysis of multimedia content, techniques for the detection of misinformation including AI methods and their application, user interface, and feedback systems, various programming languages (Java
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modern scientific software-engineering practices. Experience developing or applying artificial intelligence, machine learning, large language models, knowledge graphs, semantic technologies, or intelligent
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), semantic model and advanced analytic solutions. This role will leverage industry best practices, modern data engineering principles, and structured project methodologies to build scalable and reliable BI