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Date Posted: 06/25/2025 Req ID: 43822 Faculty/Division: Faculty of Applied Science & Engineering Department: Dept of Mechanical & Industrial Eng Campus: St. George (Downtown Toronto) Position Number
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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or
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Course description: This course introduces and provides a framework for the design process. Students are introduced to communication as an integral component of engineering practice. The course is a
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, editing, and designing inclusive communications and marketing materials. Exceptional writing, editing, and storytelling, fact-checking, and proof-reading skills. Demonstrated commitment to maintaining
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systems and developing technical solutions for systems improvements Essential Qualifications: Bachelor's Degree in Information Studies, Computer Science or acceptable combination of equivalent experience
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accelerate the commercialization of science for the betterment of humankind. CDL is a global program with sites at Toronto, Vancouver, Montreal, Calgary, Halifax, Paris, Seattle, Wisconsin, Estonia, Melbourne
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Date Posted: 08/14/2025 Req ID: 44789 Faculty/Division: Faculty of Arts & Science Department: Department of History Campus: St. George (Downtown Toronto) Position Number: 00003308 Description: About
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Date Posted: 08/13/2025 Req ID: 44788 Faculty/Division: Faculty of Applied Science & Engineering Department: Dept of Mechanical & Industrial Eng Campus: St. George (Downtown Toronto) Description
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 26 days ago
university degree preferred. ***Applicants: please state clearly in your cover letter how your experience and expertise match each of these qualifications. *** This job is posted in accordance with the CUPE
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
Sessional Lecturer- BIO259H5F: Introduction to Biological Data Course description: This course introduces students to the exploration and analysis of biological data through computation. Students