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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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, 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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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
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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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multivariate, statistical-genetic or machine-learning approaches. · Research involving developmental, ageing or neuropsychiatric cohorts, including longitudinal or large-scale population datasets. · High
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of inverse photonic design, machine-learning (adjoint or topology optimization), or other advancing design methodologies. Ability to design and model active photonic devices (MEMS, electro-optic or thermo
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/or adapt machine learning and artificial intelligence approaches for the analysis of spatial and multispectral imaging datasets, including transcriptomic, proteomic, and lipidomic data derived from
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. • Integrate computational analyses with molecular, cellular, and immunological studies in collaboration with laboratory scientists. • Develop and/or adapt machine learning and artificial intelligence approaches