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activation, and neuroimmune communication. Apply advanced microscopy techniques including confocal microscopy, live-cell imaging, high-content imaging, and three-dimensional image analysis. Perform and
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Software and AI Research Assistant with experience in machine learning and medical imaging. This position entails performing research and analysis, conducting analyses, assisting researchers and principal
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Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto
on projects involving analysis of medical images. If a practicing clinician, the successful candidate must hold, or be eligible for licensure with the College of Physicians and Surgeons of Ontario. Work
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Lunenfeld-Tanenbaum Research Institute | Central Toronto Roselawn, Ontario | Canada | about 10 hours ago
methodologies across both areas of interest may include, but are not limited to: hypothesis-driven mechanistic studies; the generation and analysis of large-scale multi-omic datasets (including single-cell
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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for diagnosis and treatment, radiograph analysis, and patient outcomes in musculoskeletal care. The candidate will also work towards the development of ML projects to deal with multi-model datasets (text, images
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tools for nuclear imaging of living plants. Besides serving as a resource for academic and industrial researchers, the Facility supplies fludeoxyglucose (FDG) for PET-CT scanning in regional hospitals
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
: oversee the management and operation of a state-of-the-art aberration-corrected Nion HERMES 200 scanning transmission electron microscope (STEM) optimized for both atomic level imaging and high energy and