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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
to identify student conduct issues and support students in crisis and/or at risk. The incumbent provides relevant information to the Dean of Student Affairs and other Division executives on issues and incidents
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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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Date Posted: 09/23/2025 Req ID: 41903 Faculty/Division: Faculty of Arts & Science Department: Information and Instructional Technology Campus: St. George (Downtown Toronto) Position Number: 46523
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working with large administrative perinatal databases will be considered an asset. We are looking for candidates who will develop an independent and high-quality research program focused on cutting-edge
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optimization and simulation models that integrate mineral processing with mine planning strategies. Lead case study development, including data collection and curing, data analysis and documentation preparation
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Committee (UACC) to coordinate the animal ethics review processes within the USask animal care and use program. The position also serves as a resource to the campus community, providing information and
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Loading / Chargement... Help Dashboard Dashboard Dashboard Recruiter Login English English We are sorry this posting does not have information in your chosen language Program Assistant - Applied
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of large-scale, multi-faceted initiatives targeting energy, water, emissions, and waste reductions in research labs. Manage the execution of these programs and ensure their alignment with institutional
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for managing all aspects of the VDE, the SD, and the AD’s intensive and demanding calendars including the scheduling and supporting of large group and committee meetings, booking travel arrangements, and
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disease and C. difficile infection. The gut microbiome of patients can be profiled to determine if there are key good bacteria that are missing or bad bacteria that are too numerous. This information will