57 algorithm-development-"St"-"St" Fellowship research jobs at University of British Columbia
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: image processing, machine learning, and patient records. Track record of development and implementation of novel machine learning algorithms in the healthcare setting or other spaces. Extensive experience
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. Responsibilities Designing and developing research plans and conducting analysis Organizing and structuring research protocols appropriate to research proposal aims and objectives, in consultation with the PI
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the development of excellent doctoral and postdoctoral training programmes and collaborative research projects worldwide. By doing so, they achieve a structuring impact on higher education institutions, research
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. This initiative aims to develop highly skilled researchers advancing knowledge and improving outcomes for individuals affected by stroke-related cognitive decline. The fellowship fosters innovative 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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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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. 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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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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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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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