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This scholarship aims to develop a spinal implant-on-a-chip platform to study the mechanobiological effects of wear particles on healthy IVD cells. The project involves generating clinically
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Optimizing a 3D microfluidic IVD model to study cell responses to wear particles, refining culture conditions, and analysing cytotoxic and inflammatory mechanisms. Optimizing a 3D microfluidic IVD
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total disc replacement (TDR). Traditionally, this issue has been attributed to mechanical load alterations post-implantation. However, emerging evidence suggests that wear particles from spinal implants
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Lipid nanoparticles are critical delivery systems for a wide range of biomedical applications. This project will involve studying the structural properties of lipid nanoparticles, modifying particle
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the National Institutes of Health (NIH). It will employ cutting-edge computational approaches using Australian and American supercomputers, alongside single-particle cryo-electron microscopy and functional
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analysis, particle analysis, electron microscopy, and synchrotron technology. The candidate should have experience in one or more of the following research areas: Mineral Processing, Chemistry, Chemical
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. Fabricate the selected microfluidic designs in RMIT’s cleanroom facilities. Test the functional performance of these designs using micro particle image velocimetry (μPIV). Integration of Machine Learning
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materials, formulations and procedures to create particles, for outputs aligned with both academic advancement and industry partners. Materials will be evaluated for size, morphology and structure-function
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characterisation of fluorescent diamond particles, their integration into glasses and polymers, the fabrication of hybrid functional materials like glass and polymer fibres, the characterisation of the created
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Processing/Control Path Planning/Trajectory Planning Multi-Target Tracking/Multi-Object Tracking, Bayesian Filtering, Radom Finite Set filters or closely related multi-target tracking approaches in radar