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implement ontologies: Specification of information models; Analysis and collection of requirements; Specification of semantic models; Mapping of Ontology using graph database technologies. Scholarship
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workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi-modal data integration using EHR, claims, environmental, and
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learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and
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the Division; assists Division faculty with preparation of student materials such as course manuals, handouts, examinations, and grade postings, as well as preparation of manuscripts, articles, charts, graphs
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compile data for various analyses and perform calculations to prepare spreadsheets, graphs, and charts. Manage daily administrative operations, preparing reports and documents to meet compliance
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to anticipate and solve most lab issues with little supervision, preparation of graphs and advanced data analyses, and ability to lead report and/or publication writing efforts. The Research Project Coordinator
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AI systems capable of generating data such as text, images, sounds, graphs and other data types. Students will explore the core principles behind generative models, including advanced transformer
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core component is the development of Explainable AI (XAI) frameworks, particularly counterfactual explainability, to ensure model transparency. The project also incorporates Graph Neural Networks (GNNs
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Dortmund, we invite applications for the Multidimensional Omics Data Analysis Research Group: Scientist / Postdoc (m/f/d) You will be responsible for: Development and implementation of a knowledge graph
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph