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, chemical transport models, uncertainty and risk analysis, and programming and software development. Experience in statistical analysis and programming (Fortran, Python, Matlab, C++, and experience in shell
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 hours ago
, Mathematics, and Statistics. All three disciplines play fundamental roles in science, engineering, and many other areas of academic inquiry and technological innovation. The department offers programs
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 hour ago
development), quantitative background (statistics, data analysis), organizational skills, and communicative abilities is highly valued Excellent verbal, written and interpersonal skills Strong organizational
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level statistics, and R programming. The course involves lectures on (1) basic experimental design, sampling biases, and the basic concepts underlying statistical procedures. (2) Lectures on basic metrics
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. Algorithms for inference and probabilistic reasoning with graphical models. Statistical approaches and algorithms for learning probability models from empirical data. Applications of these models in artificial
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Producing complex statistical information Generating reports Planning components of prospecting projects Training end-users on procedures and the use of supported IT systems Essential Qualifications