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networks and performing GRN inference, Single-cell RNA-seq, perturb-seq, and/or other transcriptomic analysis, Next generation sequencing and bioinformatics analysis, Machine learning/AI; making, evaluating
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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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disruptions data and network analysis, the candidate should have a strong background in network modelling and coding. The selected candidate will also have excellent leadership ability/potential and strong
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, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project in collaboration
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the CIFAR Multiscale Human Program (MHU), providing access to a global network of collaborators and resources at the frontier of human developmental and computational biology. This post-doctoral fellow
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Human Program (MHU), providing access to a global network of collaborators and resources at the frontier of human developmental and computational biology. This post-doctoral fellow position focuses
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laboratory of Dr. Bruce Carleton and the multi-centre research team of the Canadian Pharmacogenomics Network for Drug Safety (CPNDS). We are seeking scientists to lead research projects with a specific focus
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projects include but are not limited to designing, building, testing, and scaling: (1) molecular data storage, and (2) chemical reaction networks. The ability to bring static and dynamic DNA nanotechnology