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A student with a strong background in statistics with Honours or Masters, excellent computing skills in R or Python, and an interest in working with biochemists and medical researchers. A student
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information systems) Have a strong background in quantitative research and methods, including handling large datasets Have a sound understanding of statistics and experience using multi-level statistical
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., routing decisions through bushfire-affected communities); conduct experiments with participants to collect data on decision-making during simulated bushfire events; and develop statistical models
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finite element analysis (FEA). Data Analysis and Statistics: Knowledge of statistical software packages (e.g., R, Python, SPSS) and data visualisation techniques. Desirable experience Experimental Skills
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completing a research degree with a demonstrated research component and experience in statistical analysis. Good written and verbal communication skills, with an ability to explain technical detail to non
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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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including microscopy (SEM, TEM, HRTEM); spectroscopy (absorbance, fluorescence, FTIR, EDX, XPS); crystallography (XRD); statistical analysis (cluster tools, discriminant tools, regression analysis) and color
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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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, or even Bayesian and statistical machine learning models. Explanations of models are also needed to reveal potential biases in the models themselves and assist with their debiasing. This project aims