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Background Scholarship code: IND-25122 Expressions of interest - open until filled. This is an industry-linked PhD scholarship. This scholarship is created by La Trobe University in collaboration
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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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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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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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Scholarship code: SRS-25030 These prestigious La Trobe University scholarships (2), in partnership with the Australian Office of National Intelligence, will be awarded to outstanding applicants
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individualized cancer care plans. Coding and user interface development skills will be developed. This scholarship is open only to Australian citizens, Australian permanent residents, or New Zealand special
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imaging, based on absorption, provides good image contrast between high- and low-density materials, such as bones and soft tissue. However, it cannot distinguish subtle density differences between soft
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imaging, flow cytometry etc. The chance to forge collaborations with experts in diverse fields at the Adelaide biomedical precinct. Ample professional, scientific and mentoring opportunities to develop
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relating to their fieldwork (such as compliance with the University’s code of conduct for research and student travel policy): Research Integrity Principles, Student Travel and Transport Policy (MPF1209