8 model-driven-engineering Postdoctoral positions at Canadian Association for Neuroscience
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have expertise in working with animal disease models, single-cell and spatial RNA sequencing technology, and a solid understanding of the CNS immune landscape. Additionally, applicants should have at
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of individuals from diverse backgrounds including physics, engineering, biology, and neuroscience, our young lab offers abundant opportunities for professional growth and strongly supports independent research. We
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or biomedical engineering or a related field. Strong programming skills, particularly in MATLAB or Python for analyses of neural signals are strong assets Previous experience with animal models using
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neuroscience and optionally molecular biology and data science. We are looking for a candidate that is driven, can leverage the lab’s existing expertise and build upon this and does not shy away from new ideas
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to the role of an Alzheimer’s disease susceptibility factor, CD33, in disease pathogenesis, as well as development of novel CD33-based therapeutics in this context (PMID:35940942). Transgenic models (PMID
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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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for vocal learning and performance, songbirds are powerful animal models to reveal the neural mechanisms underlying vocal motor learning and control, including the contribution of PNNs and PV neurons to vocal
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highly motivated students and postdocs with research experience in areas ranging from neurosciences, biomedical sciences, psychology, biomedical engineering, rehabilitation or other related disciplines