2,302 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs in Canada
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on their potential and demonstrated skills in teaching and research. The candidates should have a solid background or experience in multi-omics data analysis, including, for example, machine learning. Additionally
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. Job End Date 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
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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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diversity. We nurture a love of learning that will last a lifetime. We aim for academic growth in all subject areas. We prepare campers for leadership and service in society. We respond to challenges and use
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. Proficient in using computer programs or applications on a regular basis. Knowledge of relevant industry trends and best practices. Salary: $65,827.00 - $74,537.00 per annum Closing Date: March 25, 2026 A
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combination of knowledge and experience. Experience working with Government computer-based programs such as ESP and MIDAS would be considered a definite asset. Applicants are asked to clearly describe in
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of the program and the culture of our collaborative and dynamic team Key Responsibilities: Prepare and present learning outcomes and activities in a classroom, laboratory and industry setting Participating in
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 9 hours ago
level, primarily on a distance education basis, using a problem-based learning model supplemented by web-based sessions. The Program currently has the following Sessional Instructional Assistant position
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The College of Agriculture and Bioresources invites applications for a Sessional Lecturer to teach the following course during the 2026 Spring Term: Course Number, Section, and Name: ASKI 102
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team-oriented individual to instruct within the Heavy Equipment Technician Programs. The candidate will be a team player demonstrating excellent interpersonal skills, and a commitment to learner success