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projects that support and enable groundbreaking research at the faculty. Learn more at: https://www.mie.utoronto.ca/student-life-services/machine-shop-professional/ Under general direction of the Machine
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literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data. • Validate
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biology, machine learning, and predictive modelling; translational studies integrating laboratory discoveries with clinical implementation. Vancouver is a vibrant coastal city located on the traditional
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delivery systems using operations research methods, including their integration with complementary approaches such as empirical methods, machine learning, and artificial intelligence. Candidates must provide
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approaches such as empirical methods, machine learning, and artificial intelligence. Candidates must provide evidence of research excellence which can be demonstrated by a record of sustained high-impact
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of excellence in 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
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 21 hours agoprovided by the Engineering Teaching and Learning Team, the Queen’s Centre for Teaching and Learning, the Department, and Smith Engineering. The Department of Electrical and Computer Engineering has 36 full
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expertise in fire behaviour and climate modelling, remote sensing, and machine learning to a multidisciplinary research program that spans prescribed fire operations, fire behaviour modelling, IoT sensor
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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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on investigating, analyzing and writing up projects related to building a program for speech-based monitoring of neurodegeneration using behavioural and neuroimaging datasets combined with machine learning