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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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preparing students to be educated and enlightened citizens who lead productive and meaningful lives. Vision To be the national model for the engaged university: engaged with ideas and the world. Who We
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including causal inference and prognostic/risk prediction modelling. It will be essential to have evidence of strong data management skills and experience managing large linked administrative datasets using
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multidisciplinary R&D projects involving modeling, simulation, hardware validation, and technology demonstration. The candidate will collaborate with researchers across ORNL and external partners from industry
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mechanisms and developing disease models to preclinical therapy testing, clinical readiness and patient-informed treatment priorities. To achieve this, POLARIS brings together expertise in leukodystrophy
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Posting Details Posting Details Job Title Director of Energy Systems Modeling EPIC Requisition Number RE55137 Working Title Department Name 40550:Ctr For Applied Energy Res Work Location Lexington
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Fellow who will support key aspects of a mixed-methods policy evaluation. The Research Fellow will support a multi-year evaluation of Michigan's Partnership Model of school and district turnaround
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. Opportunities to Contribute Develops dynamic river‑lake network models to assess geochemical and ecological changes—including carbon cycling and elemental fluxes—resulting from enhanced rock weathering. Writes
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(WEFE) nexus, and model-based learning and communication. The group makes use of a variety of tools and techniques: stakeholder mapping, governance analysis, participatory modeling, non-linear feedback
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requiring the integration of cross-disciplinary solutions and expertise, including system architecture design, functional analysis, requirements development, and model-based engineering. Additionally