2,539 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions in Canada
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: Experienced in applying machine learning and data science tools (TensorFlow, PyTorch, pandas, NumPy, Scikit‑learn) to analyze and model complex atmospheric and environmental datasets. Proficient in multi
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: The Faculty of Engineering is searching for eligible candidates as invigilators for the Winter 2026 term FACC 300 midterm exam. For details job description, please visit: https://www.mcgill.ca/engineering/about
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conduct machining tests with graduate students, produce parts for research laboratories, maintain the machines, and learn and operate machine tool measurement instruments. Organizational Status Reports
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The Computer Science Department invites applications for a Sessional Lecturer to teach the following course during the 2026 Summer session: Course Number, Section, and Name: CMPT 215.3, (02
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uncertainty estimation, risk-aware prediction,and data-efficient learning Continual, transfer, and meta-learning, with emphasis on sim-to-real and real-to-simgeneralization Applied machine learning on real
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Description: About us: Student Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find connection and community while discovering
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, equipment checks, and others as necessary Teach youth climbing programs through skill development and climbing games Belay climbers and/or assist with auto-belay devices Assist with development of program
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Microsoft Office (Excel and Word). High accuracy and meticulous attention to detail. Comfort with learning new computer skills Strong communication and interpersonal skills. Demonstrated ability to work
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. The Ministry of Immigration and Career Training is an exciting workplace that recognizes and empowers its people, promotes learning and development and continuous improvement, and prioritizes service excellence
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service personnel to solve maintenance problems. Operates, assists, and provides basic troubleshooting of equipment, computer hardware, software, and connectivity problems for library and learning commons