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I supervise a wide range of projects in surface and materials physics, with a particular focus on novel electronic materials such as topological insulators where electrons can be transported without dissipation along the edges of the material. It is hoped that these sorts of materials will one...
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Status: Open Applications open: 20/06/2022 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information The candidate will work on a research project on the development of crushed hardened waste concrete as a recycled aggregate...
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CSIRO IPhD Scholarship - AI-empowered visual recognition system for dairy cow identification, health and behaviour monitoring and detection The CSIRO Industry PhD Program (iPhD) is a four-year
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What you'll receive You will receive: a minimum of $30,000 per year, for 3 years a QUT tuition fee sponsorship (for international students). Eligibility You must: fulfil our PhD admission criteria
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Status: Closed Applications open: 28/05/2025 Applications close: 27/06/2025 View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship supports a
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reliable. This project will be supported by a robust infrastructure and an intellectually stimulating environment within our machine learning group. The PhD student will be supervised by two highly
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faced by real people and creating a lasting impact. Join us and help to create a world that is more inclusive and equitable. If you are interested in undertaking a PhD with MATS and you meet the criteria
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Monash Silver Jubilee PhD Scholarship The Monash Silver Jubilee Scholarship (MSJS) is available to help support a graduate research student with living costs whilst studying at Monash. It is
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The University of Adelaide is offering a full-time PhD scholarship to support research into soil water repellency (SWR) in South Australian cropping systems. SWR is a condition where soils
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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed