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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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numerical modelling framework to simulate how light and heat interact with the target body tissue, while also incorporating neural signalling dynamics to explore how light-based stimulation affects
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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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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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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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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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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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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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right for this project. RMIT Physics, in conjunction with the ARC Centre of Excellence for Quantum Computation and Communication Technology (CQC2T), is looking for an exceptionally high-performing student
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. Degree and/or knowledge of core chemical engineering disciplines such as reaction engineering, kinetic and process simulation. Excellent written and verbal communication skills. Problem-solving experience