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including the emergence of the United States as a global economic, political, military, and cultural power. Open Learning Faculty Members are teaching staff in the Open Learning division of TRU, and the role
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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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research projects. Qualifications: PhD in Computer Science, Information Science, or Engineering. A minimum of five peer-reviewed publications in data mining, machine learning, AI, or cybersecurity. At least
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an industry partner. Experience with research software, data pipelines, and simulations, machine learning, high-performance computing, CANFAR, or advanced data systems. Evidence of mentoring or supervising
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, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our world
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, topographic data, land-cover data, and other environmental predictors. Designs and evaluates statistical and machine-learning approaches for modelling plant species distributions and assessing environmental
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connections to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more
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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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of policies and procedures and the day-to-day administration of over 60 MSc and PhD students. They coordinate the extended learning programs within the IOF, including Future Global Leaders, Vancouver Summer
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or machine learning Experience with Swift development and/or strong willingness to work within the Apple development ecosystem Experience in edge AI, model optimization, or deployment of AI models