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statistical and machine‑learning (ML) analyses that integrate EHR, genetic, and cardiac imaging datasets for risk stratification, phenotype classification, and outcome prediction. Create publication‑ready
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
skills. Excellent analytical and problem-solving skills. Familiarity with technology and emerging trends in machine learning and artificial intelligence applications within academic libraries. Active
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
humanities initiatives. Knowledge of emerging trends in machine learning and artificial intelligence applications within academic libraries. Active participation in professional organizations and continuous
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) and dynamic spread models for invasive forest and agricultural pests, integrating multi-source ecological data using machine learning and statistical approaches. Develop and validate phenological models
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Sciences, Machine Learning, Mathematics, or a related field—or equivalent qualifications and demonstrated expertise in generative AI. Work Experience: Training in the following areas: Experience: Minimum
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training, and experience in an academic teaching center will be considered. Candidates with additional specialized training in machine learning, robotics, or pre-hospital medicine are preferred
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of Professor, with an anticipated start date of July 1, 2026. We seek candidates conducting research on climate data science that draws together observations, models, and machine learning. Candidates must have a
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, nonparametric modelling, sampling and data collection, spatial and temporal data analysis, statistical finance, or unsupervised/semi-supervised machine learning. The candidate will be expected to teach and
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Sciences, Machine Learning, Mathematics, or a related field—or equivalent qualifications and demonstrated expertise in generative AI. Work Experience: Training in the following areas: Experience: Minimum
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Home Careers Faculty & librarian positions Assistant Professor Research Stream Faculty Position in Computer Graphics We invite applications from talented scholars for a tenure-track position at