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Applications of bioinformatics and statistical modelling in genomics and personalised health

Prostate cancer is one of the leading causes of mortality and is the most diagnosed cancer among men in Australia. The identification of novel biomarkers in prostate cancer could be valuable in the design of therapeutics and the identification of their molecular targets. Previous prostate cancer bioinformatic studies have recognised risk-associated genetic components as potential biomarkers.This project will apply statistical and mathematical approaches to identify novel biomarkers in prostate cancer.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Genomics and Personalised Health

Maxwell's Demon revisited: Molecular simulations as a statistical physics learning tool

In his 1871 'Theory of Heat', James Clerk Maxwell introduced a fictitious being who can violate the second law of thermodynamics by following the trajectory of every molecule within a gas.The being, later dubbed 'Maxwell's Demon' by Lord Kelvin, would operate a small trapdoor in a partitioned container to allow hotter and colder molecules of the gas to pass to opposite sides of the container. The Demon would be able to raise the temperature of the gas in one half …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics

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