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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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research priority, leverage existing Australian investments, and provide computational and statistical training. Expected outcomes include advances in astrophysical knowledge, enhanced national and
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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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symptomatic? What factors are associated with influenza/COVID-19/RSV self-testing when symptomatic? Analysis methods Descriptive statistics and logistic regression. Impact: This project will inform
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samples. -Applying Gross's (2015) process model of emotion regulation to the understanding of ADHD. -Exploring the definition/structure of ADHD statistically, and whether emotion regulation problems should
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understanding of principles of hydrometallurgy and minerals processing. - Strong skills in collecting, recording, and analysing experimental data and the statistical analysis of data. - Ability to interpret
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supported by knowledge of plant nutrition and its role in grape and wine quality. Proficiency in statistical analysis and familiarity with research methodologies, including laboratory and field work
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. Essential quantitative skills include basic statistics, econometrics, and proficiency in using a statistical package such as Stata, R, or an equivalent. The candidate should have a background in economics
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, hydrology, or environmental science, with proficiency in statistical analysis and data processing. Strong programming skills in R (preferable) and/or Python, and experience or interest in weather prediction