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This project intends to address the under-representation of culturally and linguistically diverse (CALD) patients in the uptake of Australia’s first Virtual Emergency Department platform hosted at Northern Health since its introduction in 2023. It also aims to investigate clinician’s low use...
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delivery, Pharmacology, Pharm-Biotechnology, Nanomedicines, or equivalent from a recognized University. Via the following link (via RMIT website) https://bitsrmit.in/study-with-us/bits-rmit-phd-program/apply
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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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Application dates Applications close16 May 2025 What you'll receive You'll receive a stipend scholarship of $33,637 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. There
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Charles Sturt University | Charles Sturt University, New South Wales | Australia | about 19 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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contact information for two referees. This scholarship supports a PhD candidate in physical chemistry and pharmaceutical sciences, focusing on nanotechnology and gene delivery. It includes collaboration
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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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encouraged to apply. Previous research experience involving catalysis, reaction design or liquid metals will be considered favourably but is not a prerequisite. This project is supported by a full scholarship
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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