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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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You will explore high through put experimentation through robots, nature of metal corrosion inhibitor interactions at a fundamental level and will work with 3 world class teams to integrate systems
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PhD Scholarship in the Centre for Advanced Defence Structures and Materials Experimentation (CADSME)
structures and/or materials experimentation. The project would suit students with a background/interest in advanced structures and/or materials experimentation.
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that can flow without resistance, mimicking the behaviour of quantum fluids. These systems, known as quantum fluids of light, promise revolutionary applications in low-energy photonic devices, including
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
function of these cell envelopes for several bacterial species. The most powerful models have several parameters set from experimental observations, in this case data gathered through the use of electron
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that can flow without resistance, mimicking the behaviour of quantum fluids. These systems, known as quantum fluids of light, promise revolutionary applications in low-energy photonic devices, including
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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher
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prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs
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Grant and offers excellent training in experimental techniques, data analysis, and translational research. The successful candidate will gain in-depth expertise in both cardiovascular and neurological