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The Data Sciences Institute (DSI) is a central hub and incubator for data science research, training, and partnerships at the University of Toronto. Its goal is to accelerate the impact of data
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gaining insights into their collections’ potential uses and users, scholarly information behaviors, and current teaching and learning practices. Goals Leadership - To build leadership capacity for cultural
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genomic approach to profile enhancer dependencies. Develop and optimize experimental workflows integrating scRNA-seq, scATAC-seq, and other single-cell omics. Interpret high-dimensional data in
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of structural data obtained by cryo-electron microscopy Producing innovative recombinant thrombolytic proteins. Generate stably transfected cell lines Produce and purify functional recombinant proteins Evaluate
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, and interpreting models, Analyzing genetics data (e.g. GWAS, eQTLs), including predicting variant effects, stratifying patients, identifying desired patients for recall, Designing, synthesizing, and
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will be awarded on the recommendation of the Faculty of Forestry in consultation with the Faculty of Graduate and Postdoctoral Studies. Further Information Full details regarding eligibility, application
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environments (namely the Surrey Memorial Hospital NICU-partnering with Ronald MacDonald House). There would be opportunities to work closely with experts and students in the fields of human-computer interaction
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rigorous work and health research with effective knowledge translation. The Partnership brings together policy-makers, researchers and data resources from national and international organizations to address
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poisoning in emergency departments using data derived from the Canadian Emergency Department Research Network. The incumbent may also have the opportunity to participate in real-world drug safety and
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emergency departments using data derived from the Canadian Emergency Department Research Network. The incumbent may also have the opportunity to participate in real-world drug safety and surveillance research