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explored. These strategies will be evaluated on cellular and mouse disease models, in order to determine whether APP editing can reduce pathogenic effects caused by amyloid-beta. In addition to gene editing
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from correcting disease-causing mutations, the potential of introducing protective mutations will be explored. These strategies will be evaluated on cellular and mouse disease models, in order to
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in live or fixed organisms, cells or tissues - Experience with data analysis in Python, R or similar - Experience working with animal models AND - Experience with mass spectrometry, including sample
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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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Status Reports to the Principal Investigator (Dr. Leluo Guan). Will work with Post-Doctoral Fellows to establish omics data storage, transfer and management, and develop machine learning models
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amyotrophic lateral sclerosis (ALS). Projects will involve gut microbiota manipulation and in vivo multiphoton imaging of the brain using animal models of ALS. The desired candidate will have experience in
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geospatial modelling of agricultural management practices across Canada, particularly those related to fertilizer use and cropping practices. As part of this, the postdoctoral researcher will contribute
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with PERL’s mission Our Science & Evidence learning tracks: Pandemic prevention & risk anticipation (e.g. primary and secondary prevention, surveillance innovation, spillover risk modeling, zoonoses
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dynamics in models of brain injury and neurodegeneration (amyotrophic lateral sclerosis / ALS and Alzheimer’s disease / AD). Projects will involve in vivo multiphoton imaging of glia, vascular, perivascular
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culture, cloning, Western blots, immunoprecipitation, qPCR, flow cytometry, etc. Assist in organizing and maintaining reagents, supplies and equipment in the lab. Responsible for maintaining and updating