8 high-performance-quantum-computing Postdoctoral positions at Canadian Association for Neuroscience in Canada
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at MUN features state-of-the-art medical laboratories equipped with high-resolution confocal imaging, a Seahorse analyzer for metabolic profiling, flow sorters and cytometers, an electron microscopy suite
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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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, 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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release by dopamine neurons and/or on how inflammatory signals influence the functioning of these neurons. The ideal applicant should have successfully completed a Ph.D. in the field of neuroscience (or is
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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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an emphasis on live cell and, ideally, in vivo cranial window imaging. The successful applicant will be expected to work as part of a team while managing independent projects. Dr. Alex Lohman’s research program
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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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cognitive neuroscience, computational neuroscience, neurology, neurodegenerative diseases, and geriatrics. The candidate will work closely with study investigators, particularly Drs. Laura Batterink & Lyle