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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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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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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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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 and PDX systems
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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
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. The duration of the fellowship will be one academic year. Further Information Canadian Institute of Ukrainian Studies website has more information about this fellowship.
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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
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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