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is in our approaches to peer-to-peer learning and student leadership by empowering students to work collaboratively with service areas and other students to grow holistically as individuals.The
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: This posting will be used to fill multiple positions. NAIT’s Automotive Service Technician Program prepares students to diagnose problems, repair engines, use computer management systems, and adjust
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. Comfortable with public speaking, and able to convey course subjects to diverse students and learning styles. Possess a positive, respectful attitude, and a high commitment to student success and collaboration
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) and dynamic spread models for invasive forest and agricultural pests, integrating multi-source ecological data using machine learning and statistical approaches. Develop and validate phenological models
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, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our world
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leading workshops and training sessions. Excellent written and oral communication skills; a creative thinker, problem solver and an ability to work in a team environment. Strong computer competencies with
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: OISE is recognized as a global leader in graduate programs in teaching and learning, teacher education, and education research. OISE’s hub, the Registrar's Office and Student Experience (ROSE), is often
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 19 days ago
program development and evaluation. Must have strong computer skills, including the use of Microsoft Word, Excel, PowerPoint, Adobe Acrobat, and email software, as well as an ability to adapt to and learn
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 hours ago
humanities initiatives. Knowledge of emerging trends in machine learning and artificial intelligence applications within academic libraries. Active participation in professional organizations and continuous
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training, and experience in an academic teaching center will be considered. Candidates with additional specialized training in machine learning, robotics, or pre-hospital medicine are preferred