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analysis of PFAS. This task notably involves cutting-edge work on data processing. Simultaneously deploy targeted analysis quantification and non-targeted identification of PFAS in samples obtained from
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effort to identify and visualize the translation dynamics and function of proteins that drive epithelial cell migration and rapid, scarless wound healing in axolotl wound healing and fly dorsal closure
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The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in
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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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Primary Purpose: The Taghibiglou Research Group (Dr. Changiz Taghibiglou, https://neuroscience.usask.ca/people/faculty/dr.-changiz-taghibiglou.php ; https://medicine.usask.ca/profiles/anatomy
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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The Laboratory of Future Industry (LoFI), in the Mechanical Engineering Department at the University of British Columbia, is hiring a Postdoctoral Research Associate to work under the supervision
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Bison Integrated Genomics and Assisted Reproductive Technologies for Germplasm Biobanking (BIG ART) Primary Purpose: Bison are an integral part of the ecology of Canadian national parks. Parks
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via GitHub repository) in statistical analysis and modelling using R or Python with open source code Experience with high performance computing environments, particularly Digital Alliance Canada
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data collection and analysis for publication in peer-reviewed journals. The position will also include mentoring of undergraduate students. Qualifications: Research publications, grant writing