2,270 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs in Canada
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); characteristics, teaching practices; teachers' roles in inclusive classrooms. Overview of characteristics, causes, needs, and teaching strategies for diverse and exceptional students, teaching and learning
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commitment to equity, diversity, inclusion, and to the promotion of a respectful and collegial learning and working environment, as demonstrated through the application materials. We seek candidates whose
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of traditional Blackfoot Confederacy territory in southern Alberta with campuses in Lethbridge and Calgary. ULethbridge is more than a place to learn — it’s a place to build a career and make a lasting impact. We
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of Political Science, please visit our website at: https://www.mcgill.ca/politicalscience/ . Inquiries may be directed to Professor Arash Abizadeh, Chair of the Department of Political Science, at chair.polisci
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, Computer Science, Computer Information Systems, Data Science, Environmental Science, Geology, and General Science which allow students to prepare for a variety of exciting careers in science and technology
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
Filled No Special Instructions to Applicant Quick Link for Direct Access to Posting https://dal.peopleadmin.ca/postings/20427
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, 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 commitment
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applicant will be required to provide the following current verification(s) where 'Yes' is indicated below. Further information is available at: https://careers.usask.ca/tips-for-applying.php Criminal Record
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Resources and Finance Manager, at Rico.Choi@ubc.ca . To learn more about UBC’s Centre for Workplace Accessibility, please visit their website [https://hr.ubc.ca/health-and-wellbeing/working-injury-illness
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experimental design. Proficiency with machine vision and deep learning techniques, including image segmentation, landmark placement and metric learning, for the automation of phenotypic analysis of large image