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image segmentation, to ensure high-integrity research output. A background that includes biomedical engineering or related field would be an advantage. Organizational Status The successful candidate will
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efficiency and effectiveness of the HRIS and HR related systems as well as working to leverage technology in a manner that enhances business processes; leading the development, analysis, and selection
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Date Posted: 11/10/2025 Req ID: 45908 Faculty/Division: Temerty Faculty of Medicine Department: Microscopy Imaging Laboratory Campus: St. George (Downtown Toronto) Position Number: 00058814
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, engineering and math (STEM) fields — as well as those interested in working on projects across multiple mentors are also strongly encouraged. To receive updates about the application process, please subscribe
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machine learning computer models (i.e. algorithms) for medical imaging, bioinformatics (i.e genomics data including single cell and spatial omics) and drug development applications. Performs analysis
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investments of over $22M in infrastructure and operation funding by TMU, the successful candidate will join a rapidly growing ecosystem focused on Medical Imaging and Therapy involving the Greater Toronto
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of Biomedical Engineering | Faculty of Medicine (Ali Bashashati) Posting End Date November 30, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date December 31, 2027
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servers Perform quantitative image analysis using established analysis pipelines Opportunity for further work such as participating directly in data analysis, development of image processing tools and other
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Applied 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
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use of existing Computer hardware equipment and software. Perform one-on-one consultations and informal workshops on technology devices supported by the Campus Computing Support team. Work on special