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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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, 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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want to develop your career on a collaborative, high-performing team with passionate, generous colleagues who will support you to learn and grow? The UBC Faculty of Medicine is seeking a Development
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-Clerkship). The focus will be on supporting Foundations courses and clinical learning experiences through both case-based and evidence-based learning opportunities. Nature of Work: Reporting to the Manager
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respectful and professional manner, collaborates effectively, abides by policy, and contributes to a positive and productive work and learning environment. Engages in continuous learning by participating in
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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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excellent oral and written communication skills in English. Should be able to drive a truck and trailer or be willing to learn how to do so. Proficiency with common business computer programs will be
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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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the preparation and organization of project information for internal and external audiences. Coordinates project meetings, workshops, conferences, learning activities, and stakeholder engagement events. Oversees
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, topographic data, land-cover data, and other environmental predictors. Designs and evaluates statistical and machine-learning approaches for modelling plant species distributions and assessing environmental