24 development-"https:"-"https:"-"https:"-"Univ"-"Univ" PhD positions at Queensland University of Technology
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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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proposed principal supervisor, and copy the link to this scholarship web page into question two of the financial details section. About the scholarship This project aims to develop advanced control
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following areas: Indigenous studies, Aboriginal and Torres Strait Islander studies or First Nations studies Law, criminology or justice studies Public health, social work or community development Sociology
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reconstruct the evolution of particle-laden turbulent flows from limited data using scientific machine learning. You will also be involved in the data-generation and curation for model development. Accordingly
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the participating university, CSIRO, and an industry partner a four-year scholarship package totalling about $48,000 per annum tax exempt (2026 rate) a four-year project expense and development package starting from
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focuses on developing the first-ever closed-loop cardiopulmonary resuscitation (CPR) feedback device. The device uses non-invasive sensors to measure blood oxygenation in the brain and tells the CPR
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bridges and buildings by developing innovative, high performance protective columns. The proposed system features a composite column consisting of an outer Fibre Reinforced Polymer (FRP) tube, an inner
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, chemically demanding, and operationally complex. By developing porous structures that enable fluids to separate naturally through capillary and interfacial effects, this project aims to advance a more
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package totalling approximately $47,000 per annum tax exempt (2025 rate) a four-year Research Training Program (RTP) Fee-Offset a four-year project expense and development package of $13,000 per annum a
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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