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(BBB) dysfunction and edema in brain cancer, a major source of morbidity in the disease. Using radiomics, single-cell, and spatial omics, the project integrates imaging and molecular data to better
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Primary Purpose: Canada is developing three satellite instruments, TICFIRE (Thin Ice Cloud and Far InfraRed Emissions), ALI (Aerosol Limb Imager) and SHOW (Spatial Heterodyne Observations of Water
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                McGill University | Edmonton West University Strathcona Place, Alberta | Canada | about 17 hours ago
responsible of supporting the UCA team during teaching activities using teaching models, medical images, cadaveric images, prosection and other media; and to direct small teaching group during the lab sessions
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course: LAS 400 H1 S: Topics in Latin American Studies – Images that Speak: Visual Culture, Power and Representation in Latin America For the Winter 2026 offering, LAS 400 H1 S is an interdisciplinary
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. Hiring Unit: Biomedical Engineering Course Title and Course Number: BMDE 660 - Advanced Magnetic Resonance Imaging and Spectroscopy of the Brain Estimated Number of Positions: 1 Total Hours of Work per
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: Department of Bioengineering Position: Course Lecturer Course code and name: BIEN530 - Imaging and Bioanalytical Instrumentation Course Description: Microscopy techniques with application to biology and
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Research and Innovation Services department helps partners conceptualize, prototype and deliver products to market. ARIS is on the leading edge of novel technology development. As one of Canada’s top applied
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source materials into publication-ready images. The Graphic Designer/Technical Illustrator will follow ILM Graphic Image Guidelines and specifications. Image types include isometric and perspective
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functional recovery, and apply advanced imaging techniques such as confocal microscopy and fluorescence lifetime imaging along with bioenergetic profiling methods including OCR, ECAR, ROS, and membrane
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such as ECG, Echo, Pulse wave velocity, direct or indirect tonometry, Doppler ultrasound, oscillometric analysis, and magnetic resonance imaging (MRI). Using machine learning and AI techniques, the project