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: The McGill University Department of Diagnostic Radiology, Division of Diagnostic and Interventional Abdominal Imaging in the Faculty of Medicine and Health Sciences invites applications for a full-time
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: The McGill University Department of Diagnostic Radiology and the Department of Radiology at the McGill University Health Centre (MUHC) in the Faculty of Medicine and Health Sciences are inviting applications
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 16 hours ago
publications EDUCATION/EXPERIENCE PhD degree in preferred areas including Biophysics, Cell Biology, Cancer Biology, Neuroscience Hands-on and theory experience with light microscopy Familiarity with imaging and
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Resonance Imaging (1st & 2nd Discipline), Medical Radiologic Technology Job ID #2700 Apply Now Share this job on: Job Information Positions Available 1 Closing Date 15 Jun 2025 Type Temporary Full-Time
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Assistant Professor/CRC Tier 2, Department of Internal Medicine, Rady Faculty of Health Sciences Position #36297/36298 The Department of Internal Medicine in the Rady Faculty of Health Sciences
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. Creating and refining algorithms for data reduction, calibration, RFI flagging, re-gridding, and imaging. Building and maintaining pipelines for automated data processing, from raw data to final science
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implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may
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and develop new teaching material in collaboration with faculty and technical staff Computer skills including learning new software programs, digital imaging and virtual microscopy Ability
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actively participate in the operation of renowned institutions. In this capacity, you will be expected to: Develop and pursue an innovative research program in neuroscience, leveraging state-of-the-art
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learning with advanced algorithms such as Alphafold3 for molecule processing and foundation models for image processing. Designs and develops machine learning computer models (i.e. algorithms) for medical