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Conventional x-ray imaging is firmly established as an invaluable tool in medicine, security, research and manufacturing. However, conventional methods extract only a fraction of the sample
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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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Austofix is a South Australian Medical Device Company specialising in orthopaedic implants suitable for trauma surgery. With a focus in research, design, manufacturing and distribution it has a number of
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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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phenomenon that has the potential to shift an established photochemical paradigm. The research will involve a range of computer modelling methods and techniques in the areas of theoretical and computational
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study flow dynamics relevant to reactor design using optical diagnosing methods, followed by image processing, which may include machine learning-based techniques. This suits Mechanical Engineering
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Maximum number awarded 2 Eligible courses Doctor of Philosophy-Civil Engineering https://study.curtin.edu.au/offering/course-research-doctor-of-philosophy---civil-engineering--dr-cvengrv1/ Eligibility
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental
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for the duration of the award. Scholarship Details Maximum number awarded 3 Eligible courses Doctor of Chemistry https://study.curtin.edu.au/offering/course-research-doctor-of-philosophy---chemistry--dr-chem
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into the Doctor of Philosophy program https://research.curtin.edu.au/postgraduate/ including the English proficiency levels set by Curtin University (e.g., IELTS, Overall 6.5, Speaking 6.0, Writing 6.0, Reading