483 education-technology "https:" "https:" "https:" "https:" "https:" "https:" positions in canada
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Home Careers Faculty & librarian positions Assistant Professor or Assistant Teaching Professor Faculty Position in Industrial Ecology The Department of Civil Engineering at the University
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
of Openings: 1 Lecture Sections: TU 19:00-22:00 Course Description: First of two courses in Canadian income taxation. It provides the student with detailed instruction in income taxation as it applies
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problems in derivatives pricing, risk management, and algorithmic trading. Through theoretical lectures, coding assignments, and case studies, students will develop the ability to select, implement, and
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://hiring.oise.utoronto.ca/sl/sessional_lecturer_jobs Apply here: https://hiring.oise.utoronto.ca/sl/sessional_lecturer_jobs This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. It is understood
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of artificial intelligence (AI) technology is increasingly infused in our everyday lives, AI's role in education (K-12, higher education and corporate) is less clear. Some are predicting that AI will enhance
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for two references (preferably academic), evidence of teaching in the relevant area (including student evaluations, if available), and the CUPE Local 3902 Unit 3 application form located here: https
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finance, valuation and asset pricing Prior experience teaching this course (or a similar course) at the university level Ability and experience teaching large classes Preferred qualifications: Industry
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global financial institutions Prior experience teaching this course (or a similar course) at the university level Ability and experience teaching large classes Preferred qualifications: Industry experience
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machine learning methods in finance Prior experience teaching this course (or a similar course) at the university level Ability and experience teaching large classes Preferred qualifications: Industry
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Mathematical Finance Industry experience in supervised and unsupervised learning modern applications of machine learning Prior experience teaching this course (or a similar course) at the university level