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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 13 hours ago
for this position must have research expertise in the study of genetic and/or metabolic diseases or pathologies, utilizing zebrafish as the primary model organism. The successful candidate will be expected to pursue
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of new algorithms and technologies. Capturing value from these algorithms and technologies requires an interdisciplinary approach, engaging health and health science professionals in the design and
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of predictive analytics and implementation of algorithms in care settings along with clinical, business and ethical challenges will be explored. In addition, an overview of the issues within the health industry
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title: CSC384H1Y - Introduction to Artificial Intelligence, LEC5101 Please note, this position is a 0.5 FCE appointment. Course description: Theories and algorithms that capture (or approximate) some of
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(e.g., SolidWorks, AutoCAD) and printer operation. Proficiency in coding languages such as MATLAB, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and
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Date Posted: 02/24/2026 Req ID:47045 Faculty/Division: Temerty Faculty of Medicine Department: Department of Molecular Genetics Campus: St. George (Downtown Toronto) Existing Vacancy: Yes
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clinical and physiological data Experience refining and validating AI algorithms Demonstrated experience analyzing and writing Python code for data preprocessing, feature extraction, modelling, and
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of Molecular Genetics Campus: St. George (Downtown Toronto) Existing Vacancy: Yes Description: The Department of Molecular Genetics in the Temerty Faculty of Medicine at the University of Toronto (St. George
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technologies, genetic alteration/genetic enhancement. Use of life support technologies, synthetic life, life extension. Estimated course enrolment: 50 students Estimated TA Support: not provided Class schedule
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recognized as a leading biomedical research hub thanks to landmark discoveries in genetics, stem cells, and the molecular basis of disease, as well as state-of-the-art tools in the analysis of large-scale