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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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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
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PhD Scholarship opportunity: Patient-Centred Evaluation of medical devices (PACE) (Melbourne, Australia) Job No.: 689544 Location: Centre for Health Economics, Monash University, Melbourne
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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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university, we recommend you apply for admission before putting forward a Data61 PhD scholarship application. Depending on your university's processes, candidates may apply for eligible university scholarships
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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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-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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The Adelaide Graduate Research School (AGRS) and Kornar Winmil Yunti (KWY) are partnering to create an internship opportunity for University of Adelaide PhD students, to contribute to the following
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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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