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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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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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Application dates Applications close30 May 2025 What you'll receive You'll receive a stipend of $41,600 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration includes an extension of up to six months (PhD). This is the full-time, tax exempt rate which will...
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Training Program (RTP) Fee-Offset a four-year project expense and development package of $13,000 per annum a three-month industry engagement component with Gelomics a structured professional development and
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details section. About the scholarship This scholarship is supported through ARC Linkage project LP240100200. Advancing Digital Innovation in the Australian Live Performing Arts Sector is led by Dr
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understand its fundamental causes has been limited to animal models and trials. There are over 27 animal models for neuropathic pain where pain has been induced by macroscopic & microscopic nerve lesions
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multiphase flow challenges related to the flow characteristics during cyclic injection processes using microfluidic experiments and pore-scale modelling. You will gain access to the advanced microfluidic
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for pursuing advanced research in road safety, with a particular focus on protecting children and promoting active transport modes. If successful, you will be expected to work closely with
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significant challenges. Your project will aim to solve these coupled chemo-mechanical problems through in situ characterisation and advanced modelling technologies. The expected outcomes will help develop next
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burden. This PhD project will be part of or augment a larger NHMRC Investigator Grant project ('Better feet, better lives') that aims to develop better predictive models that help identify people with