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both graph-based analysis of research data as a meta-domain and discovery of relevant datasets through both graph search and guided browsing through relationships. Along with Yale managed datasets
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knowledge graph creation Extract relationships between the entities discovered and form an internal knowledge graph and timeline of events across the full corpus Build, potentially using AI code assistants
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Yant Lab develops computational and genomic approaches to understand evolution, adaptation, genome dynamics, and whole-genome duplication across diverse plant systems (see https://www.yantlab.net
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0HB, GB (Hybrid) Job Category Research Job Schedule Full time Contract Type Permanent (subject to fixed term funding) Salary £43,482 to £44,746 Is the role eligible for sponsorship? Yes Job Pack https
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0HB, GB (Hybrid) Job Category Research Job Schedule Full time Contract Type Permanent (subject to fixed term funding) Salary £43,482 to £44,746 Is the role eligible for sponsorship? Yes Job Pack https
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), Arabic, Tagalog, Farsi, French, or/and Yoruba. Position Overview The College of Engineering is seeking a qualified candidate to support a new NSF-funded project (https://www.nsf.gov/awardsearch/show-award
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postdoc will contribute to and help lead projects that may involve concepts and priorities such as knowledge-graph-driven data integration, AI-powered literature review, agentic database search
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mapping, graph theory, hierarchical clustering, etc.) to clinical brain imaging data. This position provides an excellent opportunity to contribute to research that bridges systems neuroscience, pain
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Researcher to support research and development within the SEDAN group ( https://www.uni.lu/snt-en/research-groups/sedan ). The ideal candidate will have expertise or a strong interest in artificial
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learning methods • Analyzing and integrating large-scale biomedical datasets, including omics, pharmacogenomics, medication, drug database, ontology, knowledge graph, and clinical molecular data