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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 20 hours ago
justice while encouraging interdisciplinary collaboration across the Department of Historical Studies, in which it is housed. This appointment will strengthen existing expertise in feminist scholarship
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work with us? We offer access to advanced technologies and equipment; a progressive supportive work environment; opportunities for job advancement and continuing education; team approach to patient care
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. It aims to introduce students to the different ways historians have sought to understand the war, as well as scholarly and intellectual challenges that come with studying an event of this magnitude and
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media, and the use of technologies will also be examined, for both two-dimensional and three-dimensional art works. Estimated TA support: No Estimated course enrolment: 35 Class schedule: Monday 13:00
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and excluded actors, peoples, perspectives, and more. This course delves into the American revolution and the diversity of those engaged in it and affected by it. The songs, performances, and reception
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://hiring.oise.utoronto.ca/sl/sessional_lecturer_jobs Apply here: https://hiring.oise.utoronto.ca/sl/sessional_lecturer_jobs This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. It is understood
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://hiring.oise.utoronto.ca/sl/sessional_lecturer_jobs Apply here: https://hiring.oise.utoronto.ca/sl/sessional_lecturer_jobs This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. It is understood
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for an interview, we will notify you to provide reference letters. Please apply at: https://hiring.oise.utoronto.ca/sl/sessional_lecturer_jobs Apply here: https://hiring.oise.utoronto.ca/sl/sessional_lecturer_jobs
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: https://hiring.oise.utoronto.ca/sl/sessional_lecturer_jobs This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. It is understood that some announcements of vacancies
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/artificial intelligence methods. The Research Associate will have significant experience in research into neurodegenerative disorders using speech and deep learning technologies. They will establish the design