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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2025 (January - April) INF2179H – Machine Learning with Applications in Python Course Description: Machine learning has
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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2024 (September - December) INF2404H – Explainability & Fairness for Responsible Machine Learning Course Description
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Sessional Lecturer, INF2205H - Designing Sustainable & Resilient Machine Learning Systems with MLOps
University of Toronto Faculty of Information Sessional Lecturer Winter Term 2025 (January - April) INF2205H – Designing Sustainable and Resilient Machine Learning Systems with MLOps Course
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of Machine Learning for Biomedical Data. Good oral and written communication skills. Hiring Unit: Biomedical Engineering Course Title and Course Number: BMDE 520 - Machine learning for Biomedical Data
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: Position: Sessional Lecturer I (1 position available) Course title and code: Foundations of Data Analytics and Machine Learning - APS1070 Course description: (1) Python programming (basic structures
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. Deadline: March 31st, 2024 Key qualifications: Academic Background: M.Sc. or B.Sc. in computer science, computer engineering, neuroscience, or related fields. Solid foundation in machine learning , and
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Posting Details Position Information Job Title Machine Learning Engineers/Specialists About the University It’s your time to shine! Work where the world comes to create, discover and learn. We
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Machine Learning in Earth/Environmental Sciences. Candidates may be considered at higher ranks. We are seeking an individual who demonstrates the potential to develop a strong research and teaching program
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, evaluation and deployment of predictive algorithms and other machine learning (ML) based innovations for use in healthcare research and practice. The individual will design, implement and support statistical
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 21 hours ago
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 experience. The Department of Arts and