11 critical-discourse-analysis Postdoctoral research jobs at University of British Columbia
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process design, computational modeling, and techno-economic analysis. The start date for the position is 1 October 2025, or shortly thereafter. The salary for the position is $50,000 per year. We encourage
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Funding competition to support two StrokeGoRed post-doctoral fellowships focused on sex- and gender-based analysis in stroke. StrokeGoRed is excited to launch a new national training competition
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diverse culture of critical thought and improve Canadian productive capacity, the CPRA supports and promotes promising research talent in a wide variety of disciplines and broad fields of health, natural
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analysis. Prepare reagents for experiments Monitor use of reagents and other supplies, order lab supplies and maintain inventory Establish and maintain laboratory information and data files; perform data
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associated with collection, storage, retrieval and analysis of human samples in research Capable of maintaining confidentiality Proficiency in the use of standard software, as well as software specific
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empowering awardees to make significant contributions to Canada’s research ecosystem, economy and prosperity. To help build a world-leading innovative economy, reinforce a diverse culture of critical thought
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simulations and data analysis, detector and electronics R&D, and experiment-related operations, including: Participating in data collection including shift-taking at PSI Participating in detector and experiment
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) required. Must demonstrate sound judgment, critical thinking, logical decision making. Must possess strong problem-solving skills, able to anticipate and resolve problems in a timely, effective, ethical
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Experience with basic molecular biology (DNA, RNA, protein work) is essential. Mammalian tissue culture, and analysis techniques such as western blotting, qPCR, Flow Cytometry, Agilent Bioanalyzer usage, qPCR
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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large