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: Department of Biology (Professor Laura Pollock ) Position Summary: Develops and implements species distribution models (SDMs) to predict the geographic distributions of tropical plant species using
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learning approaches for fire behaviour prediction, climate downscaling, or remote sensing data analysis. Develop reproducible computational workflows and data products to support lab research and agency
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biology, machine learning, and predictive modelling; translational studies integrating laboratory discoveries with clinical implementation. Vancouver is a vibrant coastal city located on the traditional
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pipeline. Research programs may leverage structure-based models, protein language models, generative AI, or novel hybrid approaches. Areas of interest include, but are not limited to, developing predictive
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, structured phenotypes, medical terminology, ICD codes, and available omics and health-data resources to detect patients with clinical patterns suggestive of hEDS/HSD. The position is inspired by recent
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computer scientist) in collaboration with BC Cancer and the UBC Mood Disorders Centre, spans patient navigation tools, clinical guideline chatbots, and predictive models for psychosocial and psychiatric
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integrates clinical, molecular, and real-world data with emerging computational approaches, including large language models, predictive modelling, and multi-omics data integration. The lab coordinates and
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are not limited to, the following examples: predictive and prognostic biomarkers, omics (panomics, genomics, transcriptomics, translatomics, methylomics) in health and disease, pharmacogenomics
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
projects. The Manager will use Reliability Centered Maintenance (RCM) techniques to plan the annual maintenance schedule. They will develop the maintenance budget based on predicted costs as an output from
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questions. Implements and adapts machine learning and AI-based approaches for high-dimensional epidemiological data, including variable selection, prediction modelling, and data integration. Retrieves