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Field
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: The incumbent is responsible for the promotion and presentation of a consistent image of McGill as a major institution of international caliber. Develop and implement communication services consistent with
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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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detection and multi-animal tracking in complex environments. Behavioral analysis and animal posture recognition. Image processing under uncontrolled conditions (variable lighting, occlusions, movement
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medical data to the lab and manage data-related tasks, including enforcing storage policies, monitoring, and backups. • Medical Imaging Processing & Analysis: o Perform advanced temporal preprocessing
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for scaling new models of care. The course explores how data and AI coordinate people, processes, and technology to support behavior change, precision care pathways, and continuous service improvement. Case
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external stakeholders and partners, the incumbent must maintain a professional image by responding to inquiries in a timely and courteous manner. The incumbent develops working relationships with campus
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, operational, and at times hands-on technical support to assist with multimodality imaging projects (e.g., PET, SPECT, MRI, ultrasound, optical fluorescence, SWIR, DXA, X-ray) from study design through data
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Playground ( 0.5 credit) (Winter 2026 Semester: January 8, 2026 – April 24, 2026; Monday: 11:50AM - 2:50PM; In-Person) COURSE DESCRIPTION: This elective introduces a range of digital imaging concepts and
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not required): Experience with ML-based tools for image-analysis and signal processing, development of ML prediction tools Experience with PyTorch and/or TensorFlow, experience with databases and high
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microscopic analyses of histological section series and image analysis post-image acquisition. If the opportunity arises, he/she will use their experience in microscopy to help resolve conceptual problems in