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) at McGill University is accepting applications for a post-doctoral researcher position in human sport performance. The intent of this program is to support research that aims to understand, facilitate, and/or
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. Skills Required: Programming, App design and development, and hardware configuration Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and
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the supervision of Dr Tibor Schuster, the Research Assistant will participate in research activities associated with a causal framework development for analyzing complex microbiome data, a projected funded by the
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repositories programmed in Python, Pytorch, LangChain using git repo. Develop clean, readable, and maintainable public code using object-oriented programming principles in Java and Python. Apply machine learning
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objective of developing a new generation of university researchers working on access to justice for OLMCs in Canada a plan for the knowledge mobilization (1 page) Qualifications: PhD (awarded less than five
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- Research recent developments in gene regulation, cell cycle, and the cytoskeleton to be integrated into the updated tutorial content. - Assist in revising the assessments for BIOL/BIEN219 - Assist in
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plasticity and MR and PET methods development and will be responsible for all aspects of the research process, including Acquiring cognitive, behavioural and neuroimaging data in older persons at risk for
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responses during infection. Isolate tissues and prepare single cell preparation for flow cytometry analysis including data analysis. Perform molecular and immunological assays such as ELISA, qRT-PCR, and
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develop tools for semi-automated Neuroimaging QC. In this key role, you will work in a dynamic and fast-paced research institute (The Neuro, Montreal Neurological Institute) to support our teams in
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qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify