7 genetic-algorithm-computer Postdoctoral positions at Canadian Association for Neuroscience
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and improve performance Conducting neural recordings and stimulation in behaving monkeys. Programming in MATLAB or Python for data analyse Adapt and improve the machine-learning algorithm to the new
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and immune cells following traumatic brain injury and in neurodegeneration using genetically-encoded biosensors and optogenetic tools. The desired applicant will have experience in microscopy, with
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in motor circuitry to motor performance and learning (see PDF). This CIHR-funded research program is comparative, involving experiments in songbirds (zebra finches) and mice, and conducted in
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/approaches and challenges. Additionally, the candidate will have access to JAX’s unique postdoctoral training program that offers support and substantial guidance for building an independent career in science
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combining chronic in vivo imaging (two-photon microscopy, fiber photometry, GRIN lens imaging) with genetic and molecular approaches to dissect how cell type- and projection-specific plasticity orchestrate
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, optogenetics, and computational methods, this project aims to elucidate how prefrontal cortex neurons form short-term memories of reward to guide an animal’s actions. The research will examine interactions
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cognitive neuroscience, computational neuroscience, neurology, neurodegenerative diseases, and geriatrics. The candidate will work closely with study investigators, particularly Drs. Laura Batterink & Lyle