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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or
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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or
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Academic Job Category Faculty Non Bargaining Job Title Research Associate in Machine Learning Department Research | Gsponer | Michael Smith Laboratories | Faculty of Science (Joerg Gsponer) Posting
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title: CSC2515HS - Introduction to Machine Learning Please note, this position is a 0.5 FCE appointment. Course description: Machine learning (ML) is a set of techniques that allow computers to learn
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Learning Course Description: Machine Learning applications are increasingly utilized to make crucial decisions in many sectors of our economy and society. These include, but are not limited to, healthcare
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 14 hours ago
to enhance students' learning experiences and sense of belonging. Excellent computer and technical skills (e.g. Access, Word, Excel, PowerPoint, Outlook). Superb interpersonal, listening, and communication
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application of natural language processing (NLP) and other machine learning methods, including training and deploying large language models (LLMs) for extracting data from electronic health records (EHRs
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that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps
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plan and implement components of programs and activities and will be responsible to conduct detailed analysis on program efficiency and student learning outcomes, which will inform program planning
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 3 hours ago
development and accreditation. Responsibilities: The successful candidate will teach six undergraduate courses per year in the Computer Engineering curriculum. Courses may include: Computer Architecture