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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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first author publications in reputable peer-reviewed journals Advanced quantitative skills (e.g., advanced stats [MLM], machine learning, data mining). Willingness to develop desired skills (see directly
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approaches (based on functional programming abstractions) to optimize the implementation of machine learning models and other digital signal processing algorithms on a specific FPGA architecture to fit within
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is a collaboration between the Pollock lab and Habitat (an environmental consultancy) partially funded by Mitacs. The project will develop innovative tools to monitor biodiverisity change in the Saint
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: Post-Doc in the area of AI-based solutions for high-level decision-making for robotic systems. Development, testing and evaluation of the co-planner assistant for operation of harvester machine
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with multivariate statistics, machine learning, and/or remote sensing would be an asset. Experience and education: Ph.D. degree in geography, agriculture/agronomy, environmental science, or a related
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electrochemical monitoring with high-resolution surface analysis to support pipeline integrity assessments and material reliability in transport infrastructure. - Improve scientific communication through high
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. The incumbent is unionized if more than 25% of his salary is paid by McGill Research funds. Group C Unionized hold a dual status as both students and McGill employees, and are members of the AMURE (Postdocs
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-first authors) with submitted, accepted or published status in peer-reviewed journals. Good spoken and written communication skills in English. Before applying, please note that to work at McGill
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. Leadership & Learning: Building the next generation of crisis leaders through our Pandemic Fellows Program and global network. Convening & Collaboration: Creating space for interdisciplinary exchange through