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on deep learning, and microscopy (confocal, light-sheet, two-photon, STED). START: The student could start either in May 2024 or September 2024. APPLY: Candidates should send a letter of interest, a CV, a
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focus on regenerative medicine, preclinical models for development of novel stem cell and pharmacological therapeutics, the opportunity to learn and apply technical/theoretical skillsets, professional
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, electrophysiology and movement analysis based on deep learning and neuroanatomy to study salamander locomotor circuits. The work will be carried out in collaboration with a team of modelers and roboticists (Pr
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, electrophysiology and movement analysis based on deep learning and neuroanatomy to study salamander locomotor circuits. The work will be carried out in collaboration with a team of modelers and roboticists (Pr
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candidate will have a PhD degree or equivalent, a minimal postdoctoral experience of 2-3 years, have demonstrated excellent research productivity, and employ innovative approaches in the molecular
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the neural processing of reward. The candidate must have a PhD in computational neuroscience, psychology, cognitive science or a quantitative discipline as well as fluency in Matlab or Python and experience in
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to regulatory networks and circuit design, metabolic engineering, molecular pharming, or RNA biology and applications. The candidate will demonstrate research excellence, hold a PhD or equivalent, and have
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acquire funds to support the training of graduate students at the MSc and Ph.D. level. They must disseminate research findings through peer-reviewed publications and other knowledge translation and exchange
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funded NSERC grant. The aim of the project is to learn how FUS applied in animal models alters neural function, using in vitro and in vivo techniques. Another project involves electrophysiology in humans
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externally funded independent research program, teach graduate courses, and mentor graduate and undergraduate research students in Biomedical Sciences. Members of the Department of Biomedical Sciences conduct