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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 description of how these proteins respond to physiological stimuli to control electrical signalling...
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the following documents to Professor Miao Chen via miao.chen@rmit.edu.au a cover letter (research statement) a copy of electronic academic transcripts a CV that includes any publications/awards and the contact
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at the intersection of user modelling, multi-agent systems, simulations and modelling, reinforcement and deep learning, evaluation and responsible AI. We understand it is unlikely someone will have a background in all
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@rmit.edu.au Please send your CV to akram.hourani@rmit.edu.au Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization, or multi-agent
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Using finite element modelling (FEM) to simulate different hole configurations and validating these models with cadaveric femur specimens, this study will provide crucial insights to optimise
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relevant wear particles and simulating physiological loading conditions. This scholarship aims to develop a spinal implant-on-a-chip platform to study the mechanobiological effects of wear particles on
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sensing, to improve worker/operator safety. This project will focus on using density functional theory calculations and ab initio molecular dynamics simulations. The project is a collaboration with Dr
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-page cover letter briefly outlining your interest in the project Evidence of research ability: A digital copy of a Master’s or Honours’ thesis; and a digital copy of academic transcripts A detailed CV
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the project Evidence of research ability, such as a digital copy of a Masters or Honours thesis A digital copy of academic transcripts A CV including any publications, awards, relevant professional experience
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-based molecular biophysics project of medical significance, funded by the National Institutes of Health, USA. The Computational Biophysics Group develops advanced physical and chemical simulation