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Charles Sturt University | Charles Sturt University, New South Wales | Australia | about 13 hours ago
The file you have requested has been archived and as a result can no longer be viewed This may be because of the following: The resource no longer exists (it has been renamed, deleted or moved elsewhere). The resource has been archived.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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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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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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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
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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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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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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 study a PhD focused on Chemical Engineering or other relevant fields, e.g. Material Science & Engineering. Eligibility criteria Applicants are required to: Full-time enrolment Show the capacity to carry
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PhD Scholarship This project aims to improve rare earth element recovery by designing peptide-polymer composites inspired by lanthanide-binding proteins using machine learning and computational