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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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Philosophy (PhD) at QUT, including any English language requirements for international students. In addition, this scholarship has specific eligibility conditions, including: the proposed project must be in
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PhD Scholarship – Development of novel Radiotracers for the Fibrosis Detection - PhD scholarship available with an International Team Job No.: 648919 Location: The Alfred Centre Employment Type
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I am interested in the most catastrophic and explosive collisions in the Universe, such as the mergers of neutron stars and black holes. I study these using both gravitational waves and electromagnetic signatures, primarily focussed on linking the data from these exciting experiments with our...
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Status: Closed Applications open: 18/05/2025 Applications close: 9/06/2025 View printable version [.pdf] About this scholarship Description/Applicant information A PhD scholarship in
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group of PhD researchers who will tackle the most pressing questions in Machine Learning while ensuring AI serves humanity responsibly. You'll work within one of our specialised research themes, each
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stimulation) and electrophysiology measures (electromyography, electroencephalography) will be highly beneficial. The PhD position is embedded within an excellent academic and research environment with a strong
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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PhD. The duration includes an extension of up to six months if approved for your candidature. This is the full-time, tax-exempt rate which will index annually. In addition, you will receive a top-up
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PhD Opportunity This project will involve epidemiologic analysis of Flu-Tracking to explore how symptoms of acute respiratory infection have changed over time, who is most impacted, and where