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exclusion criteria. Data Extraction: Extract and manage data from selected articles, ensuring the accuracy and completeness of information for qualitative and quantitative analysis. Quality Assessment
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enhance provincial capacity to tailor care approaches in response to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a
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) into the technical architecture and design choices of AI systems, particularly as they relate to data representation, ethical AI frameworks, and beneficial applications. Collaboration and Coordination: Working closely
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis
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Laboratory Science (BMLSc)) and graduate (MSc, PhD) levels with the graduate program, one of the largest in the Faculty of Medicine, which has been recognized by UBC for its quality. The Department plays a
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generating unbiased, systematic data can give new and unexpected insights into biology. That has been at the core of our work ranging from genome-scale RNAi screens to systematic mapping of genetic
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) using syndemic and precision public health approaches. This project will use data from the BC Hepatitis Testers Cohort (BC-HTC) and IDEALs Cohorts- longitudinal cohorts of ~2.5 million people tested