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I study galaxies and active galactic nuclei, endeavouring to understand how galaxies grow, what regulates star formation within galaxies and what triggers active galactic nuclei. My students and I use imaging surveys at X-ray, optical, infrared and radio wavelengths to measure the emission from...
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Conditions Applicants must meet the conditions below to be considered. The applicant must be admitted full-time into a PhD. The applicant must not have commenced their PhD. The applicant must be
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The file you have requested has been archived and as a result can no longer be viewed This may be because of the following: The resource no longer exists (it has been renamed, deleted or moved elsewhere). The resource has been archived. Needing to locate similar resources? Use the Search in the...
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Understanding factors related to student retention and experience in physics and astrophysics major units. Using quantitative (surveys) and qualitative data (interviews with students) this project aims to explore who takes physics and astrophysics major units, why they pursue them, and what...
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The Adelaide Graduate Research School (AGRS) and the Royal Geographical Society of South Australia are partnering to create three internship opportunities for University of Adelaide PhD students
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For over a century, X-rays have been used to visualise the internal structure of opaque objects, driving major breakthroughs in healthcare, industry, and scientific research. Conventional X-ray imaging, based on absorption, provides good image contrast between high- and low-density materials,...
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PhD Scholarship Become a First Nations clean energy leader with a higher degree research scholarship at the University of Newcastle through its Trailblazer for Recycling and Clean Energy (TRaCE
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with 1414 Degrees’ silicon based thermal energy storage technology, SiBrick®, to enable continuous hydrogen production from intermittent renewable electricity. The PhD student(s) will join the project
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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to the fields of AI, biomechanics, and applied sports science, this project offers a unique opportunity for PhD candidates to engage in interdisciplinary research with real-world impact. The project also includes