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epidemiology. Strong statistical background, including knowledge of Bayesian statistics and mathematical modeling techniques. Ability to code complex analyses in R, including data visualizations. Excellent
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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 4 hours ago
modeling, ordination (principal component & factor analysis) and classification (cluster & discriminant analysis) methods, and basic concepts of Bayesian analysis. Emphasis will be placed on how
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 3 days ago
& Key Responsibilities Applicants are invited to apply for a post-doctoral opportunity in biostatistics, with an emphasis on Bayesian spatial modeling and disease mapping. The successful candidate will
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methods is an asset Knowledge of Bayesian statistics is an asset Excellent written and oral communication skills Strong analytical, problem-solving, and programming skills (in statistical software such as R
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. Requirements include research experience and an understanding of Bayesian inference, spatial statistics, network analysis, and excellent written and oral communication skills. Proficiency in R statistical
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ecologies of South Asian diasporic poetry, 1970s to 2000s Jonathan Doucette Doctor of Philosophy in Physics (PhD) Probing Brain Tissue Microstructure with Magnetic Resonance Imaging through Bayesian Learning
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Arctic locations- Knowledge of spatial analysis and Bayesian statistics - Previous experience conducting fieldwork in northern ecosystems - Experience working with drone imagery and drone piloting Offer
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month 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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(astro)statistics techniques and hierarchical Bayesian inference. The successful candidate will be expected to pursue innovative and independent research, and to establish an outstanding, competitive, and