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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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/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
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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 about these options, please
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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
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
, Binary Dependent Variables, Basic Machine Learning. Applications include, but are not limited to: Inventory Management,Assessment of a Marketing Campaign, Demand Estimation, Hospital Management
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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 about these options
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contribute to grant applications. Qualifications: PhD required. PhD in 3D-printed sustainable architected materials with expertise in computational mechanics, machine learning, additive manufacturing, and
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Date. Job End Date July 24, 2026 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