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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
Professor ME Luka, Acting Chair of the Department of Arts, Culture and Media, University of Toronto Scarborough using the online application system found at https://www.utsc.utoronto.ca/webapps/cupehiring
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
Professor ME Luka, Acting Chair of the Department of Arts, Culture and Media, University of Toronto Scarborough using the online application system found at https://www.utsc.utoronto.ca/webapps/cupehiring
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. Prepare and document example code, usage guides, and reference materials to support external users building solutions on the IMAGE platform. Review and merge code contributions from students and other team
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Primary Purpose: This position is designed to provide technical assistance to clinicians and undergraduate students essential to the provision of diagnostic imaging services for animals presented
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aberration-corrected Nion HERMES 200 scanning transmission electron microscope (STEM) optimized for both atomic level imaging and high energy and momentum resolved electron energy loss spectroscopy (EELS
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-vascular imaging and/or intra-coronary physiology. The successful applicant will participate in the 24/7 Primary Angioplasty/Code STEMI service. Further inpatient and outpatient clinical activities
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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 momentum
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Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
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-diversity-and ] https://research.ubc.ca/federal-research-chair-programs/canada-research-chairs/ubcs-commitment-equity-diversity-and pursuant to Section 42 of the BC Human Rights Code, the selection will be
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experimental design. Proficiency with machine vision and deep learning techniques, including image segmentation, landmark placement and metric learning, for the automation of phenotypic analysis of large image