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                at the University of British Columbia, Department of Psychiatry, as well as the High Field Imaging Laboratory at UBC, and various community mental health agencies. Data processing (data entry and analysis) will be 
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                at the University of British Columbia, Department of Psychiatry, as well as the High Field Imaging Laboratory at UBC, and various community mental health agencies. Data processing (data entry and analysis) will be 
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                teaching activities (models, medical images, cadaveric specimens, etc.) and lead small-group teaching in labs. Assist with lab set-up, grading of laboratory quizzes, and support the midterm review 
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                Positions in the Department of Electrical & Computer Engineering for the Winter 2026 semester. These positions are open to McGill University Graduate students only. This position requires in-person work and 
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                to assist the research groups with molecular and cellular experiments as part of active research projects or process development. The individual will be joining dedicated and highly motivated teams 
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                : The Magnetic Resonance Imaging (MRI) Technology Developer will play a pivotal role in shaping and supporting the MRI research platform and program at the McConnell Brain Imaging Centre (BIC). This includes 
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                Shakespeare. ENGL 331 Literature Romantic Period 1. ENGL 359 The Poetics of the Image. ENGL 366 Topic: Horror Film Hourly Salary: $37.34 Total Hours of Work per Term: 180 Position 
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                . Perform perfusions and tissue extraction. Plan and perform immunocytochemistry. Perform general histology processing. Assists with image analysis and data collection. Assist in developing and implementing 
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                hub in the wider McGill research milieu across several departments, schools, and affiliated research institutes. Its members also work closely with colleagues in the Neuro’s McConnell Brain Imaging 
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                investigates the genetic and biological determinants of multiple sclerosis (MS) and related neuroinflammatory disorders. We integrate large-scale genomic, proteomic, imaging, and clinical datasets to identify