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physics, non-Hermitian theory, and nonreciprocal thermal photonics. The role will focus on the theoretical modelling, numerical simulation, and experimental analysis of diffusive and thermophotonic systems
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people who discover them The Opportunity Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims
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for anatomical accuracy, numerical stability, and computational efficiency. Develop multiphysics models coupling electromagnetic field simulations, microwave power deposition, tissue perfusion, and bioheat
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in nano-Darcy shale rocks and propped fractures, with analytical and numerical modeling to interpret multiphase transport and evaluate optimal drawdown strategies for improved production. In
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. Qualifications The proposed project extensively involves mathematical modelling, computer programming, numerical simulation and experimental investigation of two-phase flows. It requires researchers to have PhD
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, primitives for quantum machine learning, and advanced aspects of learning theory. The work is both theoretical, i.e., formulating and proving theorems, and numerical, i.e., converting algorithms into code and
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experiences, and publication list One educational or professional recommendation. Your application will be considered incomplete, and will not be reviewed until one recommendation is submitted. A copy of an
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experiences, and publication list One educational or professional recommendation. Your application will be considered incomplete, and will not be reviewed until one recommendation is submitted. A copy of an
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structural components iv. Data acquisition, instrumentation and monitoring during laboratory testing Perform numerical modelling and simulation, such as finite element modelling, parametric studies, and
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(CFD) models, including fluid–structure interaction (FSI) simulations where appropriate, will be developed and validated against experimental measurements. These models will be used to investigate