1,760 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Chester" positions in Canada
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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: Department of Integrated Studies in Education Course Title: Digital Media & Learning (suppl. posting) Course Code: EDEC 612 002 Estimated Number of Positions: 1 Total Hours of Work per Term: 45 This posting is
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to start at Grade 9 Step 1 of the salary scale. 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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knowledge of applicable computer hardware and software applications and terminology, as well as your ability to accurately compose and/or edit a variety of correspondence will contribute to your success in
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cluster(s) and will also work in an office environment. Familiarity with common computer programs is required. Advanced/specialized technical skills are required to support the development of research
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Sessional Lecturer, ECUR 200, Department of Curriculum Studies (ITEP – Cumberland House Cree Nation)
The Department of Curriculum Studies and the Indian Teacher Education Program (ITEP) in the College of Education and the Gwenna Moss Centre for Teaching and Learning invite applications for an Out
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Ongoing At UBC, 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
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, 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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August 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 for all faculty, staff and
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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