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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 8 hours ago
fluorescence data. Developing machine learning methods to optimize data collection. In addition, the project is committed to developing open source tools that benefit the imaging community. The applicant will
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, viral vector gene delivery optimization, and histological analysis. Experience with fiber photometry, optogenetics, or data analysis with Matlab/Python will be an advantage. The candidate should also
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of Dr Benoit Gosselin (Université Laval), Guillaume Lajoie (UdeM) and Marco Bonizzato (Polytechnique). It integrates the use of machine-learning approaches to optimize neurostimulation, automation
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optimization is important. Mastery of fluorescence and light microscopy; conventional and/or confocal Applicants with experience in pre-clinical models of neurodegenerative diseases including MS (particularly