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will apply nonlinear and associational (colloquially called “causal”) timeseries analysis techniques to provide a more rigorous, and more statistically significant framework for understanding
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advanced statistical analyses to examine psychometric properties. They will undertake work with stakeholders to develop their research and ensure it is meaningful and acceptable to the communities the work
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(BHMs) to infer the fundamental parameters of large stellar populations and their hosted planets in a statistically self-consistent way. By jointly modelling ensembles of stars and incorporating high
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simulations are plagued by the same slow relaxational dynamics. Through collaboration across Engineering, Statistics and Chemistry, this project will develop state-of-the-art simulation algorithms to circumvent
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biostatistics. We develop, apply and promote innovative statistical and data science approaches to advance biomedical science and human health. The BSU current research portfolio is organised into five main
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such as environmental science, ecology, geography, engineering, and data analytics. Essential: A strong academic background (2:1 or above, or equivalent) in a relevant subject; Experience with statistical
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summary statistics (e.g., average speed, smoothness), which may fail to capture the subtleties of operator skill in high-stakes nuclear teleoperation, and how skill is developed over time. Instead
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, combining both accuracy and explainability; (3) extend statistical learning theory to offer theoretical bounds for intrinsically-aligned AI models; (4) employ the newly-developed metrics to train deep neural
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involving complex methodologies and statistical analysis. Your responsibilities will include data management, cleaning, and analysis using advanced statistical techniques, as well as drafting reports and
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these syndromes occur where and when they do? The student will develop statistical and machine learning models to (i) explain the occurrence of extreme fires and (ii) predict their likelihood under present and