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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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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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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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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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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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synthesis efforts, in particular developing and updating evidence-based guidelines Coordinating stakeholder engagement activities (e.g., with healthcare providers, patients/public) Preparing regular data
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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
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members on combinatorial CRISPR screen strategies for target credentialing in cancer models Computational analysis of screen data Design and execution of combinatorial target validation experiments in PDXO
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published with its proceedings. The Institute will pay the expenses of the successful applicant to present his/her paper. Further Information The CIAJ website has further information about this fellowship