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environment and explore how conservation values drive conservation priorities. The successful PhD candidate will also have the opportunity to work with end users of research, such as the Australian Antarctic
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Nations knowledge and perspectives are central to this transformation. The program supports First Nations people to work towards an MPhil or PhD degree, preparing them to become leaders in clean energy and
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PhD Scholarship – Patient Reported Outcomes To Improve Proactive & Patient-Centred Care for Heart Failure Patients Job No.: 675730 Location: Victorian Heart Institute Employment Type: Full-time
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What you'll receive You'll receive a stipend of $33,637 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 if approved
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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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collaborator, Kurloo, based in Brisbane, Australia and be involved in the commercialisation pathway for the research outcomes. Useful Information CSIRO industry PhD project description 8558.pdf Scholarships
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Charles Sturt University | Charles Sturt University, New South Wales | Australia | about 21 hours ago
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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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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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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