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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
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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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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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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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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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
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$35,000 per annum, for three and a half years (fortnightly stipend). Plus, a tuition fee scholarship for 4 years, and thesis and relocation allowances. Who is it for? One – two future PhD candidates Where
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These supplementary scholarships (top-ups) are funded by the Australian Research Council to support 2 full-time PhD students who wish to undertake research in the field of battery recycling: Project
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CSIRO IPhD Scholarship - AI-empowered visual recognition system for dairy cow identification, health and behaviour monitoring and detection The CSIRO Industry PhD Program (iPhD) is a four-year
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What you'll receive You'll receive a scholarship, tax exempt, of $43,637 per annum for a period of three years, with a possible 6 month extension, subject to satisfactory progress. This is inclusive