60 algorithm-development-"St"-"St" Fellowship positions at University of British Columbia in Canada
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transforming chemical risk management for Indigenous community-based practice, university labs and classes, regulatory practices, and policy development. This large, interinstitutional research project brings
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Translating basic science discoveries into practice Improving techniques to measure pain Developing new and more personalized treatment approaches Alternative approaches to pain management including research
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Applications. • January 15 – March 1st: Applicants seek endorsement from host institution to apply, prepare and submit application. • March 15: Deadline for Application. • June 15th: Notice of Decision
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. This role focuses on developing and applying AI and deep learning techniques for analyzing high-dimensional omics data, identifying predictive biomarkers, and understanding cancer heterogeneity. Projects
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cardiac precision medicine through artificial intelligence and machine learning. The postdoctoral fellow will contribute to the development of a comprehensive, multi-modal framework for predicting and
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development and community building: opportunities to build a network of advisors and connect with principal investigators and postdocs in other disciplines, as well as special-interest activities (like thematic
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motivated and skilled postdoctoral fellow to join a project focused on developing statistical models to understand the spatiotemporal distribution of marine mammals in the Arctic. The project will help
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. Co-create knowledge translation outputs for a public audience (e.g. social media, infographics, web-based events). Develop and write manuscripts for peer-review publications. Contribute
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located at the BC Centre for Disease Control (BCCDC). BCCDC is the provincial public health service providing disease surveillance, detection, prevention, treatment, policy development and health promotion
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researchers will be co-advised by UBC professors and Hakai scientists to develop projects that synthesize the information coming in from the monitoring program, as well as provide complementary theory