68 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Fellowship positions at University of British Columbia in Canada
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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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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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Objective The objective of the BC NEIHR Postdoctoral Fellowships program is to provide funding to Indigenous (First Nations, Métis or Inuit) postdoctoral applicants who wish to conduct research within a British Columbia (BC) host institution. Recipients of these fellowships demonstrate...
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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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of the Canadian Pharmacogenomics Network for Drug Safety (CPNDS). We are seeking scientists to lead research projects with a specific focus on the genetic determinants of severe adverse drug and vaccine reactions
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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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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 on the genetic determinants
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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 studying