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compartmental models for RSV developed within the STAMP-RSV program by tailoring an established software library for individual simulation to the Australian RSV transmission context. Information to parameterise
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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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This opportunity is open to students with any science-oriented undergraduate background. Students with a background in physics/astronomy, mathematics/statistics, computer science, or data science are particularly
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only if sociotechnical systems are appropriately designed. “Command and Control” (C2) is the process taken by organisations and teams to achieve shared goals, and the C2 system is the underpinning
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learning in simulated and indoor/outdoor environment. Reasonable results can be achieved in high signal-to-noise ratio environments; further research is required to improve deep learning in fast variation
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objectivity and consistency. Recent studies have highlighted the potential of computed tomography (CT) scans to provide objective markers of frailty. Metrics like Psoas Muscle Density (PMD) and Kidney to Body
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detection and visualization, physics modelling and vibration characteristic identification techniques will be included in the digital twin frameworks. AI techniques will be further developed for simulating
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courses Any HDR student willing to use mathematical modelling and simulation in engineering and physical problems. Eligibility criteria Strong mathematical background Strong analytic abilities Experience in