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to abstraction in ontology engineering in the context of the research project ABSTRACTRON. Additionally, it studies the application, impact, and relevance of ontologies and conceptual modelling techniques in
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frameworks with the competencies actually required in professional environments. The project leverages competency frameworks, ontologies, knowledge graphs, occupational taxonomies, and job advertisement
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biomedical datasets, including omics, pharmacogenomics, medication, drug database, ontology, knowledge graph, and clinical molecular data • Building computational pipelines for drug discovery, drug response
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drugs, and related ontologies. • Design components of the AI pipeline for enrichment and reasoning over technical life sciences data using large language models (LLMs). • Manage the storage and retrieval
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system. Develops and integrates operational ontologies, mathematical algorithms, dynamic and control algorithms, and advanced systems engineering approaches in support of digital engineering and digital
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models (LLMs), agentic AI, and related AI/ML methods Knowledge of or experience with semantic technologies, including knowledge graphs, ontologies, knowledge representation, and/or symbolic reasoning
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HiPerGator. For more information about UFIT and its goals and governance, visit https://it.ufl.edu/about-ufit/strategic-plan/ . About the University of Florida One of America’s all-around best universities
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ontologies • Biomedical data science • Biomedical natural language processing and knowledge representation • Clinical informatics • Clinical research informatics • Computational
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, clinical text, or other large-scale biomedical datasets. Knowledge of medical terminologies and ontologies, such as UMLS, SNOMED CT, ICD, RxNorm, or related standards. Experience with natural
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) project MicroMan4Health (website: https://www.microman4health.eu/ ), Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector. The shift from process-centric to data-centric