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is a catalyst for transformative learning, insights and public engagement, bringing together diverse views and initiatives around a defining purpose: to create value for business and society. We make a
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personal attention to students, innovative interdisciplinary programs, links with professional faculties, career mentorship, and community outreach initiatives. The College has built a rich learning
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interpretation and administration; experience supervising staff and organizing/co-delivering workshops/training sessions for academic and administrative staff. SKILLS: Strong computer skills and demonstrated
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that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property prediction
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
success and seek to give our 16,500 students the lift of a lifetime through learning and discovery. We love to open opportunities available nowhere else for our community to achieve their ambitions and make
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catalyst for transformative learning, insights and public engagement, bringing together diverse views and initiatives around a defining purpose: to create value for business and society. We make a
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Course description: A half-year capstone design course in which students work in small teams to apply the engineering design, technical, and communication skills learned previously, while refining
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obligations and builds the capacity of current and future advocates to effectively use international human rights law by providing experiential learning opportunities for students and legal expertise to civil
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. Applicants should have expertise in the application of statistical methods in data science, machine learning, or artificial intelligence. Experience must include the preparation and delivery of course content
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
education basis, using a problem-based learning model supplemented by web- and email-based sessions. The Program currently has the following Sessional Instructional Assistant (SIA) position available