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applicants will be contacted directly. Contact Prof Ben White with any questions about the project, or hdr@qut.edu.au with any questions about the application process. About the scholarship QUT is offering
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will undergo an interview process. If supported to apply, you will then submit an expression of interest (EOI) following the advice at how to apply for a research degree . In your EOI, nominate Dr
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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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three core components: a Navigator, an Interdisciplinary Footcare Team and a Community Digital Platform, to facilitate care between expert Interdisciplinary Footcare Teams in major metropolitan hospitals
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to: Multimorbidity post-sepsis Health literacy and navigation in post-sepsis care Digital tools and technology-enabled follow-up Nurse-led models of care The successful candidate will join a dynamic and collaborative
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to develop this prototype into an ambulance-ready device, ready for deployment in large-scale clinical trials. This work has been supported by The Prince Charles Hospital Foundation and aims to create real
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section. What happens next? The successful applicant will be contacted directly. For questions about the project, contact Dr Megan Crichton . For questions about the application process, contact hdr
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, OMIECs offer a distinct advantage over conventional semiconductors due to their soft, flexible, and often solution-processable nature. Their mixed conduction properties have been instrumental in
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proposal will be subject to internal review and approval by QUT. For questions about the application process, contact Andrea McCrindle , Centre Research Manager. For questions about the scholarship
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to further their careers at one of Australia’s most trusted organisations. We offer a diverse, inclusive and flexible working environment where our people are supported and empowered to come up with digital