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Featured Research Opportunities
Sakata Lab
For this position (course credit or work-study), we are looking for hard-working, enthusiastic, and thoughtful students with a strong background in programming and quantitative methods. Students should have a strong interest in animal behaviour, neuroscience, and/or evolution. The student will use machine learning approaches to quantify various aspects of songbird communication. For example, a major thrust of the lab analyzes the strength of vocal learning in zebra finches and uses convolutional neural networks and other forms of machine learning to quantify the similarity between a tutor and a pupil (as a proxy for the strength of vocal learning). Students could also use CNNs and other machine vision approaches to analyze behaviour and protein expression in the brain.
Please email jon.sakata@mcgill.ca for further information!
BIOLOGY DEPARTMENT
For this research credit position (year-long), Professor Sakata is looking for a student who is passionate about biology and who has extensive social media experience/presence. The student should be interested in researching the different degrees and types of impacts of different social media or offline approaches. The student will help formalize an online communication strategy for the Department. The range of tasks is yet to be finalized but will likely include creating video, image, and text-based content and creating posts for the Department. The student will assess engagement in posts and conduct formal analyses of engagement. They will also conduct background research on science communication to help create strategies and plans for the Department.
Please email jon.sakata@mcgill.ca for further information!
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