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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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This PhD Scholarship is funded by 2022 ARC Discovery Project “Modelling temporal evolution in spatial ecology with dynamical point processes". The world is undergoing rapid environmental change
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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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Optimizing a 3D microfluidic IVD model to study cell responses to wear particles, refining culture conditions, and analysing cytotoxic and inflammatory mechanisms. Optimizing a 3D microfluidic IVD
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This PhD scholarship is for candidates interested in developing culturally inclusive AI by creating methods and datasets to align large language models with global social and legal norms. This PhD
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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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any prior research and/or relevant work experience Curriculum Vitae Academic transcript Preferable background and/or previous experience or publications in materials science, modelling (across length
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You will explore the nature of metal corrosion inhibitor interactions through advanced molecular modelling and integrate this understanding into the formulation of evolutionary algorithms
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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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@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