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will be at the rank of Assistant Professor, Teaching Stream, with an anticipated start date of July 1, 2026. Applicants must have a PhD degree in Electrical and Computer Engineering, or a related field
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core in Precision Medicine has an opportunity for an experienced Biostatistician to work with an active international research team using advanced methodologies and machine learning. This position offers
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: Department of Electrical & Computer Engineering Term: Winter 2026 Course subject code: ECSE 552 Course Title: Deep Learning Course Credits: 4 credits Location: ENGMD 279 Schedule: Monday and Wednesday: 8:35 am
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and program admission in the School of Social Work. Acts as a key departmental administrative contact to Bachelor of Social Work (BSW), Master of Social Work (MSW), and PhD students in the areas
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position in experimental chemistry, with a preference for candidates able to teach in the areas of physical chemistry, inorganic chemistry or organic chemistry. The research area is broadly defined and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 18 hours ago
: Department of Computer and Mathematical Sciences Campus: University of Toronto Scarborough (UTSC) Description: The Department of Computer and Mathematical Sciences at the University of Toronto Scarborough
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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 students. Our
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Primary Purpose: The Department of Sociology in the College of Arts and Science and the Gwenna Moss Centre for Teaching and Learning invite applications for an Online Facilitator to instruct SOC
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initiatives, or with programming language experience and experience in machine learning and health informatics. An Understanding of the digital health space, is expected but not essential. Good Communication
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, harvest and store clinical data and methods used to create predictive models (including but not limited to methods associated with machine learning). Furthermore, issues related to delivery of predictive