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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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, Machine Learning, or related areas. - Knowledge of Large Language Models and Retrieval-Augmented Generation. - Experience or interest in Knowledge Graphs, Semantic Web technologies, information retrieval
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
period of up to 30 months to contribute to the ARC Discovery Project, focusing on goal-oriented semantic wireless communications within the Information and Signal Processing Cluster at the School
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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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19 Aug 2026 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 9 Sep 2026 - 12:00 (UTC
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19 Aug 2026 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 9 Sep 2026 - 12:00 (UTC
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to biocuration, semantic interoperability, ontology-aware data integration and the development of structured evidence resources Bioinformatics and mechanistic data integration Analyse and integrate high
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, data scientists, and scientific programmers. The activities carried out by the team range from advancing AI innovations through big data, empowering biomedical and clinical sciences through team science
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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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enablers are concerned, we leverage expertise in advanced technologies including semantic/task-oriented data processing, signal processing, and network resource management to improve the performance