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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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Research Assistant 2 position is based in Prof. Tal Arbel's research lab in the department of Electrical and Computer Engineering. This position provides research, technical, and administrative support for
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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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degree in Computer Science, Math, Statistics or Engineering programs. Ph.D would be an asset. Knowledge of classification algorithms, vision-language models (VLM) and Hugging Face Transformers is an asset
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, patch clamp recording, confocal microscopy, calcium imaging and other biochemical analysis (western blot, ELISA, etc.). Ability to work independently and collaboratively in a team environment Excellent
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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
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: Reporting to the Associate Director, the Courseware Developer will develop, modify and update online course materials for Dialogue McGill’s Language Training Program. Primary Responsibilities: Creates and
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: Department of Chemistry Position Summary: Design synthesize, and characterize BODIPY-based photosensitizers. Conduct HPLC and mass-spec -based product studies to assess the nature of lipid damage in
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become available, and present work in scientific meetings. Qualifications Required: Master’s degree in medical imaging, computer science, or a related neuroinformatics fields. 3+ years of experience in
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Casual Research Assistant 1 position is open at the Brain Imaging Centre of the Montreal Neurological Institute. The candidate will apply cutting-edge Immuno-Histo-Chemistry methods to label tissue samples