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with A- or D-optimality. In order to overcome the difficulties with classical designs related to the dependence on an assumed statistical model, the number of blocks, sample size, and multi-stratum
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, statistical and bioinformatic algorithms for the analysis of microscopic images and data obtained by various biochemical and biological assays. You will be part of and mentored by a multidisciplinary team
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under 'Admissions' in PhD (Mathematical Science). Have a Master, first-class Honours or equivalent in one of the disciplines of statistics, mathematics, or data analytics/science. Excellent programming
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The aim of this project is to describe ion conduction and activation/inactivation processes by employing molecular dynamics and statistical mechanical methods. The expected outcome is an improved
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ability to prepare and deliver mathematics and/or statistics courses at undergraduate and postgraduate levels, and willingness to teach large classes, deliver courses online and teach the use of software
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inputs, aligning outputs with strategic financial goals. Perform in-depth analyses of model results, leveraging advanced statistical methods to uncover cost drivers, profitability patterns, and
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Mathematics and Statistics) (BP083) Bachelor of Science (Food Technology and Nutrition) (BP199) Bachelor of Environmental Science (BP192) Bachelor of Science (Biotechnology) (BP226) be able to demonstrate
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Advising and Analytics Indirectly reports to: Senior Manager, Student Success Key Accountabilities Conduct statistical analyses (e.g. Anova, Linear and Logistic regressions, least-square means, etc
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numbers of minimally-interpretable models being used, as opposed to traditional models like decision trees, or even Bayesian and statistical machine learning models. Explanations of models are also needed
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understanding of basic statistical tests, distributions, and a range of analysis techniques. Experience in data visualisation techniques to communicate key concepts and insights. Good problem-solving skills with