10 coding-"Multiple"-"U"-"Humboldt-Stiftung-Foundation" positions at Canadian Association for Neuroscience
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MSc/PhD Position at the Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Canada
research project focused on exploring the immunometabolic pathways of macrophages and microglia in multiple sclerosis (MS). The Kaushik Lab is committed to fostering an inclusive and equitable research
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underlying therapeutic approaches and/or functional brain imaging (MEG, PET, fMRI, etc.) applied to addiction and psychiatric comorbidities. Individuals with expertise in combining multiple cutting-edge
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CIHR-funded research project focused on exploring the immunometabolic pathways of macrophages and microglia in multiple sclerosis (MS). The Kaushik Lab is committed to fostering an inclusive and
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Research Assistant, Medicine Join a dynamic, world-class, well-funded basic and translational science team, led by Dr. Michael Levin, the Saskatchewan Multiple Sclerosis Clinical Research Chair. Dr
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initiative that combines multiple disciplines of research and training for the service of youth facing mental health challenges. McGill University is one of Canada’s leading research-intensive universities
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teams within uOttawa’s growing neuroscience community. Qualifications: PhD in neuroscience or a related field. Experience with molecular biology, RNAseq, and mouse behavior Experience with coding is an
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molecular research on mitochondrial disorders, Parkinson’s disease, and multiple sclerosis. In the coming years, opportunities will include renewal of clinical infrastructure and interdisciplinary clinical
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lead two collaborative projects with funding secured from CIHR and the US Department of Defense: 1) the roles of oxidized phosphatidylcholines in brain aging and multiple sclerosis, and 2) the long-term
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of Medicine at the University of Ottawa, which comprises several research-intensive Departments supporting a vibrant research and educational environment with multiple strong foci in multiple health-related
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, neuroscience, psychology, or related fields Strong background in coding (Python, MATLAB, etc.) Experience with AI, deep learning, and machine learning tools (especially for behavioral analysis) Solid