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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 16 hours ago
behaviours will be examined through the lens of evolutionary theory. Through lectures and readings, students will examine such topics as genetic, hormonal, and environmental determinants of sex, sexual
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 16 hours ago
to measure and classify health and disease. It explores evolutionary and biological approaches to understanding human health by examining the concepts of adaptation and plasticity, genetic and epigenetic
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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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Date Posted: 12/15/2025 Req ID: 46410 Faculty/Division: Faculty of Arts & Science Department: Ecology and Evolutionary Biology Campus: St. George (Downtown Toronto) Position Number: 00050649
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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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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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candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include