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information and injury data relating to current projects. Conducts systematic reviews including but not limited to: title and abstract screening, full-text review, quality assessment, and data extraction
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strong ties to clinical programs and international collaborations. The Vancouver Prostate Centre The VPC has a large number of multi-disciplinary research programs in basic, clinic, and translational
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
increasingly utilizes big data, satellite imagery, register data, and advanced methods such as deep learning and neural networks to address major societal challenges related to spatial inequalities and
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synthesis projects to inform the development of clinical guidelines for safely deprescribing medications. Another focus will be conducting quantitative analysis of large health datasets related to reducing
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5 Sep 2025 Job Information Organisation/Company The University of British Columbia (UBC) Research Field Political sciences » Public policy Political sciences » Policy studies Psychological sciences
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within our HubMeta platform. The Postdoctoral Fellow will lead the data cleaning, measurement taxonomy development, and AI-integration phases of the project. Reporting to the Principal Investigator (Dr
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Thebault labs are seeking a skilled and motivated Research Assistant to support data analysis and pipeline development for cutting-edge research in neuroinflammation, multiple sclerosis, and
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) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution