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transcriptomic datasets to uncover tissue organization and disease states. Develops integrative models combining genomics with pathology images or time-series data. Participates in large collaborative studies
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environmental data Processing and analyzing large-scale remote sensing datasets from UAV, satellite, and ground-based sensors Leveraging artificial intelligence, e.g. machine learning, reinforcement learning
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particular developing and updating evidence-based guidelines Coordinating stakeholder engagement activities (e.g., with healthcare providers, patients/public) Preparing regular data reports from a large
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images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data. This position is ideal for candidates passionate about applying AI
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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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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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youth populations. The analysis will require advanced complex sample statistical data analyses of two large population-based health surveys: the BC British Columbia Adolescent Health Survey and the Health
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writing. Responsibilities will include: Conduct advanced multivariable statistical analyses of large-scale population-based data using SPSS Complex Samples and Mplus Draft and lead the submission process
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hydrogen/methane blends in 15 MW boilers and prepare a report (thermal power and heat transfer analysis at large-scale); b) Collaborate with UBC technicians in acquiring data from our 15 MW boilers, analyze
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. The BCCVH and Dr. Bouchard prioritize patient-oriented research by forming close research collaborations with patient and community partners. Please visit our websites for more information about the BCCVH