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requirements and needs for interprofessional teaching and learning, interdisciplinary research, and outreach and engagement of the colleges and programs utilizing the facilities. The Associate Director
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. The environment is dynamic and requires the ability to work independently, to multi-task, and to respond to requests from a variety of sources. The work requires ongoing learning of new imaging techniques and
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demonstrating clinical techniques, guiding experiential learning, and promoting safe and effective practice using simulation models, cadavers, and live animal experiences. The instructor contributes
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 3 hours ago
justification process . Applicants must have earned a PhD degree in biology, biomedical sciences, computational biology, AI/machine learning, bioinformatics, or a related area to the subject matter of this search
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technologies that strengthen infrastructure and improve quality of life • Supercomputing, AI, machine learning, robotics, and human–machine interaction while examining ethics, equity, and privacy in emerging
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Engineering Research Associate: Advanced Renewables 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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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 achieve
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the evolution, maintenance and support for USask’s WCVMs college operations, laboratory, clinic and teaching and learning ecosystems. Nature of Work: This position reports to the College Coordinator, WCVM IT
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overall quality of life is outstanding. McGill University, founded in 1821, is one of Canada’s best-known institutions of higher learning and is consistently ranked among the top 20 public universities in
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. Integration of Artificial Intelligence and Remote Sensing Science: machine-learning / automated analysis of large datasets, calibration and validation, feature extraction, image processing and classification