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Description: In Complexity of Clinical Care, the implications and practical application of the outputs of AI and Machine learning are discussed in class, and in select assigned readings. This class provides an
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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, Cybersecurity, or related area. (A PhD student conducting research in cybersecurity will also be considered.) At least 2 years industrial experience in cybersecurity and hands-on machine learning-based cyber
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and multi-tasking skills Well-developed computer skills, including Microsoft Office, with the flexibility, adaptability and desire to learn and embrace new and emerging technology High standard
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September 13, 2027 At UBC, we believe 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
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learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
Date Posted: 07/03/2026 Req ID: 49174 Faculty/Division: Centre for Teaching and Learning Department: UTSC:Ctr-Teaching & Learning Campus: University of Toronto Scarborough (UTSC) Description: Nature
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, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter
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tools such as machine learning, process automation, predictive/preventive analytics and artificial intelligence. This course is designed to demystify the evaluation process and give you the tools that you
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care provider productivity. They also present challenges: • New types of data, (e.g., from DNA testing) may increase risk to privacy. • For machine learning and artificial intelligence to work