853 proof-checking-postdoc-computer-science-logic positions at University of Toronto in Canada
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Date Posted: 06/03/2025 Req ID: 43248 Faculty/Division: Faculty of Arts & Science Department: Bioscience Support Facility Campus: St. George (Downtown Toronto) Description: About Us The Bioscience
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 9 days ago
Date Posted: 07/28/2025 Req ID: 44519 Faculty/Division: UofT Mississauga Department: UTM: Math/Comp. Sciences Campus: University of Toronto Mississauga (UTM) Course number and title: CSC367H5F
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Date Posted: 05/12/2025 Req ID: 42895 Faculty/Division: New College Department: New College Campus: St. George (Downtown Toronto) Description: About us: The Faculty of Arts & Science is the heart
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Date Posted: 07/31/2025 Req ID: 44584 Faculty/Division: Faculty of Arts & Science Department: Dept of Computer Science Campus: St. George (Downtown Toronto) Position Number: 00057017 Description
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
. Students will do practicals, using computer simulations of neurons, to develop an understanding of neurons and other excitable cells. Estimated course enrolment: 24 Estimated TA support: 70 total hours
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Description: About us: Home to over 40 departments and institutes, the University of Toronto's Temerty Faculty of Medicine lies at the heart of the Toronto Academic Health Science Network and is a global leader
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: CHL 3003H is required course in the first term of the Master of Health Sciences (MHSc) in Bioethics program. The MHSc in Bioethics is a two-year professional Masters degree program. Its students
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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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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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systems and developing technical solutions for systems improvements Essential Qualifications: Bachelor's Degree in Information Studies, Computer Science or acceptable combination of equivalent experience