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, in the Faculty of Business & Law at Curtin University, is seeking one (1) doctoral applicant (PhD) to join an Australian Research Council [ARC] Discovery Project, namely: Optimizing Benefits
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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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Development of auxetic structures for optimal orthopaedic implant / bone integration 3 Minute read This PhD project will be based at the University of Melbourne with a 12-month stay at Shanghai Jiao
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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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to simulate sewer networks as dynamic systems, targeting ≥90% modelling accuracy. Train an explainable decision-making agent to optimize interventions (e.g., pipe upgrades), balancing cost, equity, and
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mechanisms involved in the leaching of copper concentrate by glycine solutions. • Optimize process parameters such as temperature, pH, glycine concentration, and particle size to maximize copper
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, and friendliness. The ARC Industrial Transformation Training Centre for Optimal Ageing and Monash University The successful candidate will be a member of the Industrial Transformation Training Centre
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Technology will also be considered, but it will further be required that they also have a strong interest in operations and supply chain management background. Knowledge and experience of simulation and