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                Postdocs (3 years) Research Assistant Professors (5 years) Each position can lead to the next. The intention is to provide a long-term runway for ambitious research and for applying for tenure-track 
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                . Collaborate with internationally recognized leaders in computational neuro-oncology. Thrive in The Neuro’s open-science environment, fostering data sharing and interdisciplinary innovation. Before applying 
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                external collaborators. Keep abreast of any new technical developments in the field and new software packages. Qualifications: PhD in molecular biology, computational biology, health sciences or related 
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                Computer science » Other Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Positions Postdoc Positions Country Canada Application Deadline 22 Nov 2025 - 23:59 (America/Toronto) Type 
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                Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position 
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                , etc.] or related field (completed within the last 5 years) Strong background in functional neuroimaging (MRI), and computational modeling Proven track record of publications in peer-reviewed journals 
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                contaminants), food science, and food analysis. Proficiency in different areas of chromatography, high-resolution mass spectrometry and data analysis. At least two first-authored English papers (or three if co 
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                spatio-temporal generative models, and multimodal foundation models—including vision-language MLLMs and agentic AI frameworks—for longitudinal MRI and clinical data. Fellows will help build next-generation 
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                . Harley completed their FRQSC and SSHRC CGS-funded Ph.D. in Educational Psychology at McGill University in 2014 and held an FRQSC-funded postdoctoral position in the Department of Computer Science 
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                : Advancing policy and programmatic research on the science of pandemic prevention and health emergencies (not lab-based) Supporting the design and evaluation of real-time data systems and pandemic prevention