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rates expected by simulations have provided conflicting results. Large samples of detections are necessary, and a wealth of publicly available data exists in ALMA’s archive waiting to be examined
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(quantitative and qualitative). They must also have experience working with large datasets and producing high-quality data visualizations and linking agronomic and genetic factors. Experience in Python/R would be
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complex datasets. The role includes designing independent experiments, applying AI and big-data analytics, mentoring short-term students, and contributing to publications that will support the development
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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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analysis of multi-source datasets (e.g., mechanical, process, and imaging data). Proficiency in data science techniques, large dataset handling, and Python-based programming; Experience in the publication
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successful candidate will work in the AI in Medicine Lab, applying machine learning to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics
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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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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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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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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