21 algorithm-development-"DIFFER" PhD positions at Queensland University of Technology in Australia
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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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scholarship A fully funded PhD position (AUD 37K) is available in the QUT's School of Chemistry and Physics in Brisbane, Australia starting in January 2026. The project focuses on the development
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fabrication facilities as well as high performance computing (HPC) facilities at QUT. PhD2: Pore-network modelling of reactive transport As a PhD student, you will develop efficient pore-network modelling
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-developed knowledge of Australian media and culture. Demonstrate excellent capacity and potential for research. You must develop a research proposal that responds to and aligns with the scholarship topic and
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professional development Study a short course for personal or professional development. Giving Give to QUT Ways to give Discover the different options to donate to QUT. Get involved Share your skills or time by
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of Research Excellence in Paediatric Palliative Care. The PhD program involves the design and conduct of a Discrete Choice Experiment (DCE) to explore how consumers prioritise different elements of paediatric
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into Question 2 of the Financial Details section. About the scholarship This PhD project will contribute to the development and optimisation of a Paediatric Post-Sepsis Model of Care that supports and improves
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degraded ecosystems across different habitat types. This is important for establishing the extent to which ecoacoustic methods and metrics are transferrable between places. There is scope within this project
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, hyperspectral imaging provides an opportunity to develop fast and non-invasive methods of detecting plant diseases and potentially discriminating between different disease types (e.g. virus, fungus, bacteria
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will collect and analyse clinical, demographic, diet, and lifestyle data to identify modifiable predictors and stratify patients by malnutrition risk, supporting the development of targeted, personalised