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-field imaging of dynamic processes" "Multi-scale X-ray speckle-based imaging" "Spectral X-ray speckle-based imaging" "Single-shot multi-projection X-ray phase-contrast imaging" "X-ray virtual histology
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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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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to the efficient operation of the research work area by providing essential research support. Your key responsibilities will be to: recruiting study participants, liaising with potential participants
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aspects of clinical research work, working with clinicians, academics, and youth mental health service providers, and contributing to the efficient operation of the research work area by providing essential
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aspects of clinical research work, working with clinicians, academics, and youth mental health service providers, and contributing to the efficient operation of the research work area by providing essential
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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