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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
relationships, confounding, random sampling, experimental designs, observational studies, experiments, causal inference, meta-analysis. Statistical analyses using SAS or R. Students enrolled in the Minor program
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 8 days ago
- Population Genetics Course Description: This course introduces students to the genetic variation between and within populations. The topics include evolutionary forces, quantitative genetics, and Bayesian
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Studies Course description: The use of proxy data (terrestrial and aquatic microfossils) to infer past environmental conditions. The nature and extent of Quaternary environmental change is considered in
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Sessional Lecturer, INF2205H - Designing Sustainable & Resilient Machine Learning Systems with MLOps
Description: Decision-makers in modern organizations rely on machine learning systems to infer insights from information by analyzing meaningful patterns in the connections and associations within data. Leaders
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experience Minimum five (5) years recent and related experience Experience in applied statistics (multivariate models and distributions, jump processes, inference), e.g. simulation tools such as Monte Carlo
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
(UTSC) invites applications for a full-time tenure stream position in the area of Statistical Sciences, with a focus on the theory of Bayesian statistics and uncertainty quantification. The appointment
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, thoughtful responses to inquiries, service issues, and requests Supporting fundraising campaigns and initiatives by contributing to prospect identification, solicitation strategies, and tracking donor activity
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Developing and implementing plans to support donor management and stewardship strategies and/or activities Writing briefing notes, solicitation plans and call reports to track donor interaction Essential
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publications in leading journals; a track record of collaborative science, productivity, excellence and leadership is essential. The Chair will be based at one of the eight fully-affiliated TAHSN hospitals and
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; Additional HR and/or line management experience is an asset. Extensive knowledge of labour relations and related employment legislation and practice is necessary. III. SKILLS: Demonstrated track record