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Postdoctoral Research Associate, Systems and Industrial Engineering Posting Number req25668 Department Systems and Industrial Engr Department Website Link https://sie.engineering.arizona.edu/ Location Tucson
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Knowledge Graph. Together, you will work on: Developing and extending the Helmholtz KG data model, translating scientific and infrastructure requirements into robust, maintainable schemas and ontologies
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? 45% Assist with extracting structured prenatal ultrasound data from system exports (JSON and HL7 formats). Support mapping of clinical findings to standardized Human Phenotype Ontology (HPO) terms
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for Philosophy and Ethics in Administration, in particular emphasis on ethics or argumentation theory, language and communication, formal ontology, phenomenology, mathematical philosophy, philosophy of artificial
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
algorithms, data models, ontologies, and semantic data harmonization and integration strategies for a variety of translational research contexts, including the following data types: clinical research variables
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involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow
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to coarse-grained ontologies or common data models (e.g., the Observational Medical Outcomes Partnership Common Data Model), which may lead to substantial information loss. Moreover, most medical NLP/LLM
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of empowering citizens for the use of such technology. This work will be developed with the support of the interplay of Semantic Technologies (e.g., ontologies, knowledge graphs) and Artificial Intelligence
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: 7061020 Vice Chair for Research, Department of Psychiatry Position Information Position Title: Vice Chair for Research, Department of Psychiatry Department: Psychiatry Posting Link: https
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: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven