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architecture, computer science, engineering, human–computer interaction, public history, and information technology. This diversity and commitment to multidisciplinarity have created a unique research and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
of classes, tutorial sessions, and teaching mode see the University of Toronto, Timetable Builder at: https://ttb.utoronto.ca/ . Faculty/Division: University of Toronto Mississauga. Department/Subject Area
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 11 days ago
assignments. Access to a computer (no tablet/iPad/phone) with working internet to run Microsoft Teams for online meetings and instruction is required. Clinical Instructors will report to the instructor
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, with ability to engage diverse populations. Cultural safety, humility and anti-racist, with experience working with First Nations, Métis and northern communities. Basic computer skills. Good oral and
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that incorporate artificial intelligence and machine learning or climate change and human health are of particular interest. BWF believes that a diverse scientific workforce is essential to the process and
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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Canada by two weeks before the start date. International applicants should assess work-permit and visa timelines at https://www.canada.ca/en/immigration-refugees-citizenship/services/application/check
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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on-ground in Vancouver. Responsibilities: The Master of Professional Studies in Analytics is looking for a part-time faculty teaching courses across the program with special emphasis on applied machine
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(macro). Advances in cutting-edge technologies such as Machine Learning, Natural Language Processing, and Generative Artificial Intelligence have paved the way to exciting opportunities to transform health