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of the STAMP RSV Program, supported by the Stan Perron Charitable Foundation. The PhD candidate will play an important role in developing models of RSV transmission and vaccination efficacy to inform
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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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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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PhD Scholarship – Structural Aspects of Digestion Job No.: 679367 Location: Parkville campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful
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an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and
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-temperature laboratory experimentation and advanced analytical characterisation (e.g., micro-CT, microscopy, image analysis, structural simulation, fractography, XRD, SEM/EDS). The candidate will work alongside a team of
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university research into commercial outcomes. Under this program, PhD students will gain unique skills to focus on impact-driven research. This Project aims to develop a predictive machine learning model
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The development of advanced nanofiber membranes with engineered 2D nanochannels represents a transformative approach to addressing critical challenges in energy harvesting and carbon capture. By
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to conduct innovative research on development of advanced sodium-ion batteries, under the support of a newly granted ARC Discovery Project. Sodium-ion batteries (SIBs) demonstrate a great potential to replace
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can provide powerful models for classifying and understanding protein structures, but expert supervision is required in the development, training and deployment of these models into automation scenarios