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both in vitro and in vivo models, such as patient-derived organoids and xenografts. We apply molecular profiling (genomics and transcriptomics) along with histological analysis to explore the mechanisms
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or biomedical engineering or a related field. Strong programming skills, particularly in MATLAB or Python for analyses of neural signals are strong assets Previous experience with animal models using
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neuroscience and optionally molecular biology and data science. We are looking for a candidate that is driven, can leverage the lab’s existing expertise and build upon this and does not shy away from new ideas
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via GitHub repository) in statistical analysis and modelling using R or Python with open source code Experience with high performance computing environments, particularly Digital Alliance Canada
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at www.nait.ca/careers Please Note: This is a temporary position ending on or before June 30, 2026, with the possibility of extension. The Clean Technology team at the Northern Alberta Institute of Technology
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nitrogen module in the Global Change Analysis Model (GCAM). The McGill-based postdoctoral researcher will have a particular focus on synthesizing and harmonizing existing subnational data (including through
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of individuals from diverse backgrounds including physics, engineering, biology, and neuroscience, our young lab offers abundant opportunities for professional growth and strongly supports independent research. We
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 21 hours ago
, deadline-driven settings. Strong interpersonal skills with the ability to collaborate effectively in a team environment. Desirable Experience in cell and molecular biology Experience in tissue culture and
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Experimental Subatomic Physics, Electronics Engineering, or related fields. Relevant research experience with digital electronics and firmware programming. Excellent verbal and written communication skills in
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working with Environment Canada to build better species distribution models that include species interactions and connectivity. The postdoc will develop professionally by learning new statistical techniques