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PostDoctoral Research Fellow and PHD positions - Global Pediatric Digital Health (Child Health, Epidemiology, data science, and/or digital health) SUMMARY We are seeking applications for a 2
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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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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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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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, 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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collaborative transdisciplinary PhD cohort Co-develop energy literacy and communication projects Collaborate with academic, government, and community partners to co-create research directions Mentor graduate and
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workshops, public talks, and community engagement activities Conduct a meta-study on collaborative transdisciplinary PhD cohort Co-develop energy literacy and communication projects Collaborate with academic
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-study on collaborative transdisciplinary PhD cohort Co-develop energy literacy and communication projects Collaborate with academic, government, and community partners to co-create research directions
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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