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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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effects, assess the exposure and health risks to humans, and develop technologies and biotechnologies to break them down. http://www.recetox.muni.cz/en/career/career-at-recetox About the team We are looking
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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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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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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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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in
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developed within TWIN4CITIES. The work includes the review and comparative analysis of existing data standards, semantic models, and ontologies related to the thematic areas of the project, as