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: Department of Electrical & Computer Engineering Term: Winter 2026 Course subject code: ECSE 316 Course Title: Signals and Networks Course Credits: 3 credits Location: ENGTR 0070 Schedule: Tuesday and Thursday
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learning environment where all people are welcomed, valued and treated equitably and with fairness, advancing NAIT’s strategic commitments to Gender Based and Sexual Violence (GBSV) Prevention, Education and
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research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the
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, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary
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on the Posting End Date. Job End Date January 31, 2027 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning
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. Proficiency in a range of computer systems, software, and databases; ability and willingness to learn new tools as required. Experience with website content management is an asset. Strong organizational and
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area: Reinforcement learning; probabilistic approaches in machine learning; mathematical foundations of machine learning. Previous experience as an instructor at the university-level is required. Related
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days ago
combination of education and experience. Minimum four years of related experience working with adults with learning and mental health disabilities with co-morbid conditions, including two years of experience
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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 to employment equity helps
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on the Posting End Date. Job End Date December 31, 2026 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning