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This posting is for four (4) vacancies. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty
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2026 (Sept-Dec) | Sessional Instructional Asst. | RSM489H1 | Business Abroad - Intl Experience Learn
have made application to be enrolled in the School of Graduate Studies of the University of Toronto. The hiring criteria for Teaching Assistant positions are academic qualifications, the need to acquire
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: Artificial Intelligence and Machine Learning applications in industrial environments AI-assisted troubleshooting and diagnostics Predictive and prescriptive maintenance Anomaly detection using instrumentation
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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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, data, and systems meet – particularly around AI and data science. As part of its mission, CDSI offers workshops on topics related to programming languages, data science, machine learning, natural
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identify and recommend minor improvements to administrative processes. · Intermediate computer proficiency, including Microsoft 365, and ability to learn and use relevant UBC information, learning
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or machine learning Experience with Swift development and/or strong willingness to work within the Apple development ecosystem Experience in edge AI, model optimization, or deployment of AI models
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machining equipment to create custom projects that support and enable groundbreaking research at the faculty. Learn more at: www.mie.utoronto.ca/student-lifeservices/machine-shop/ Your responsibilities will
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and creating new opportunities for them to engage with and recruit USask students and alumni. This position has a strong impact on the credibility and profile of the institution and Teaching, Learning
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term