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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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In the PhD program, you will be involved in working with a multi-disciplinary team. You will be conducting experiments and developing phenomenological models to understand the graphite formation
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machine learning approaches show issues in model performance and efficiency and vulnerability towards the application of noise over a large number of distributed models. These issues should be overcome by
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healthcare organisation, on exploring the convergence of three key mega-trends and the consequential rise of hybrid virtual care models and their application across the APAC region. The three megatrends are (i
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The scholarship provides a minimum stipend of $34,481 each year for three years to perform experimental investigations and developing mathematical models to valorize waste and produce carbon nano
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intensive approach to maximise resource recovery and minimise contaminants transfer into the environment. This project will involve a literature review followed by experiments and modelling closely working
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stiffness by changing their composition and self-assembly process. The relationship between nanoparticle structure and stiffness will be determined both through experimental and modelling approaches. Finally
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@rmit.edu.au This project duties are: To assess the available energy resources in wastewater heat in the Australian food sector using measurement and modelling approaches To develop wastewater heat recovery
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various modes of transport, travel routes, times of day and year, and working routines. To assess the health impact of air pollution exposure using health impact modelling To develop mitigation measures
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, applied maths, physics, chemistry, computer science, computational modelling, earth science or similar. Strong programming skills. Experience in making gas flux measurements Excellent project management