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disease threats. Designing transformative computer vision and machine learning systems to boost efficiencies and design resilient crops is critical to our agriculture industry. Automated vision analysis
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and Title: MMF2030H1F: Machine Learning (Section LEC 0101) Course Description: The course will cover machine learning from both a theoretical and practical point of view, with a focus on pragmatic
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Scientific Eng., Level A Job Title Machine Learning Engineer/Scientist Department Human Resources Support | Department
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow, Machine Learning Department Cooper Laboratory | Department of Orthopaedics | Faculty of Medicine (Anthony Cooper
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knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML/AI systems
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knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML/AI systems
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Demonstrated ability to take initiative, excellent organizational and time management skills Strong computer skills with knowledge of Microsoft 365 applications; knowledge of Canvas learning management system
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, excellent organizational and time management skills Strong computer skills with knowledge of Microsoft 365 applications; knowledge of Canvas learning management system and Adobe Creative Cloud applications
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: The Research Associate will support Professor Benjamin Fung in conducting research related to data mining, machine learning, artificial intelligence, and cybersecurity. Key Responsibilities: Perform
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 22 hours ago
-operative education and work integrated learning (WIL), for 50 years. Co-op and WIL give students an opportunity to apply skills learned in the classroom, and to expand their knowledge through related work