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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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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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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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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
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to neural population coding. As a starting point, we will build upon recent advances in graph neural networks (GNNs), particularly those described by which offer a promising architecture for modelling
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answer maps accordingly. We use knowledge graphs to model these transformations and apply AI methods to scale them up across large map repositories, enabling users to explore many ways maps can be reused
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and expanding audience beyond the academic community. Where to apply Website https://www.prio.org/about/careers/31 Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Skills
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(IDQ), Talend, DataGaps, Precisely). ? Familiarity with knowledge graph concepts and modern metadata management solutions. ? Outstanding verbal, written, presentation, and interpersonal skills, with