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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | 26 minutes ago
POSTDOCTORAL FELLOW POSITION: Hybrid Scientific Machine Learning and Numerical Weather Prediction (Canadian Arctic) Department of Mathematics | Simon Fraser University (SFU) | Metro Vancouver, BC
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advancing cardiac precision medicine through artificial intelligence and machine learning. The postdoctoral fellow will contribute to the development of a comprehensive, multi-modal framework for
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and rigor to drive their own research in the broad and multi-disciplinary areas of artificial intelligence machine learning big data and data analytics software and security mobility and autonomy The
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Systems, and Mathematical Medicine & Biology, as well as interdisciplinary research in Scientific Machine Learning and Data Science. Candidates should indicate in their cover letter the name(s) of
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. Hossein Zolfagharinia at TMU and Dr. Kejia Hu at Oxford. The research will focus on artificial intelligence, machine learning, data analytics, and recommendation systems, with applications to
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | 7 days ago
+ Research Talent Initiative at SFU. Applications are encouraged from candidates working in areas aligned with the Chair's mission, with priority given to: * Scientific Machine Learning; * Advanced
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, proteomics); biomarker discovery for pregnancy complications and neonatal outcomes; computational biology, machine learning, and predictive modelling; translational studies integrating laboratory discoveries
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Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and
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) * Longitudinal Data Analysis, Dependence Modeling, Time Series Analysis, Statistical/Machine Learning, Computational Statistics (Erfanul Hoque) * Biostatistics, with a focus on survival data analysis
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environment. · Knowledge of molecular biology, cell biology, immunology, neuroscience, or ophthalmic research is considered an asset. · Experience with single-cell genomics, spatial transcriptomics, machine