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ADMISSION to HDR Those who apply for the scholarship opportunity that have not already applied for admission to a relevant HDR must also apply. Instructions on how to apply for admission can be found here: https://www.flinders.edu.au/study/apply/apply-research-degree/how-to-apply By lodging...
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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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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
of the Bacterial Cell Envelope – From Molecular Structure to Metabolic Function: The cell envelope is the interface between a bacterial cell and its environment. MACSYS is currently modelling the structure and
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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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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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') that aims to implement, evaluate, and scale-up novel Diabetes Footcare Hub models of care for people with diabetes foot disease living in regional and remote areas of Queensland. The model of care has
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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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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