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living with DFD in cities get this care and this drops to <20% for those living in remote areas. This PhD project will be part of or augment a larger NHMRC Partnership Grant project ('The QFeet Study
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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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at laboratory scale using small-area gas-diffusion electrodes (<5 cm²). Scaling up these systems introduces significant engineering challenges, including mass transport limitations, long-term catalyst durability
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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 Scholarship Opportunities in Optoelectronic Semiconductors at the Faculty of Engineering and Faculty of Science (Multiple Positions) Job No.: 682543 Location: Clayton campus Employment Type
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of Health Sciences Faculty of Science & Engineering Science courses Engineering courses Western Australian School of Mines (WASM) Course type Higher Degree by Research Citizenship Australian Citizen
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Students Faculties and centres Faculty of Science & Engineering Engineering courses Western Australian School of Mines (WASM) Course type Higher Degree by Research Citizenship Australian Citizen Australian
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approval. Enquiries: Dr. Chao Ye and Dr. Zhixiao Xu School of Chemical Engineering / Discipline of Materials Engineering Email: chao.ye@adelaide.edu.au ; zhixiao.xu@adelaide.edu.au Expression of interest
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of Transport Studies, Department of Civil and Environmental Engineering Employment Type: Full-time Graduate Research Degrees: 3291 - Doctor of Philosophy (PhD) Duration: 3.5-year fixed-term appointment
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that leads to publications, oral and poster presentations, and a PhD dissertation. Student type Future Students Faculties and centres Faculty of Science & Engineering Science courses Course type Higher Degree