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of the approaches available, basic theory, and application. The remaining lectures will be student-driven, seminar-based discussions with Faculty members as facilitators of this discussion. We will cover the major
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the course involves understanding the concepts of environmental toxicology, exposure and the mathematics required to conducting a health risk assessment. These fundamentals will be demonstrated through
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 6 hours ago
: Department of Computer and Mathematical Sciences Campus: University of Toronto Scarborough (UTSC) Description: The Department of Computer and Mathematical Sciences at the University of Toronto Scarborough
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and associated peripheral equipment. Experience with experiment development and implementation; including specific knowledge and understanding of the theory and principles of XPS and ToF-SIMS
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development and implementation; including specific knowledge and understanding of the theory and principles of XPS as they pertain to surface analysis. Experience conducting training sessions on XPS instrument
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and faculty). Broad knowledge of labour market trends. Solid understanding of student and career development theories and in particular, and experiential learning models. Proven ability to handle a
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strengths . Applicants must have a demonstrated record of excellence in teaching, including a strong demonstrated ability to integrate both theory and practice, evidence of effective communication and
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half they design, prototype, and present engineering designs to a subset of those identified opportunities. In support of these activities, students continue to explore in greater depth the theories
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Course Code and Title: PSL446H1S/1446H – Neural Disorders/Molecular and Cellular Aspects of Neural Disorders Course Description: PSL446H1S/1446H is an undergraduate and graduate course that allows students to explore topics in neurological disorders and treatments to reinforce and expand their...
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of the fundamental theory of deep learning along with significant experience in the development of software applications that employ neural network and deep learning approaches to computer vision, natural