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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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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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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
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results accurately and draw meaningful conclusions to inform further research and process improvements. Background in modelling and simulation using simulation software. Background in Techno-economic
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) with the following information to discuss eligibility: An academic CV that includes any publications/awards and the contact details of two referees A copy of electronic academic transcripts. A cover
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as your proposed principal supervisor, and copy the link to this scholarship website into question two of the financial details section. About the scholarship We are seeking PhD candidates with high
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cover letter briefly outlining your interest in 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
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for the Doctor of Philosophy. Potential candidates need to send the following documents to Associate Professor Asgar Farahnaky via asgar.farahnaky@rmit.edu.au A cover letter (research statement) A copy of
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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