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Field
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application end stations to be used for imaging, absorption/reflection spectroscopy, and other quantum sensing techniques. Practical working knowledge and hands‑on experience with lasers and optics, spanning
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for diagnosis and treatment, radiograph analysis, and patient outcomes in musculoskeletal care. The candidate will also work towards the development of ML projects to deal with multi-model datasets (text, images
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, and regulatory requirements. collaborate effectively with multidisciplinary researchers, clinicians, industry partners, and external collaborators. contribute to the day-to-day operation of
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mitochondrial biology. Previous experience in Drosophila work and confocal imaging would be a strong plus. This position will be supervised by Prof Hansong Ma in the School of Biosciences at the University
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, Western blotting, immunoprecipitation, and confocal imaging. Conduct in vivo studies using animal models, including administering treatments, performing viral infections, and performing post-procedure
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focus on foundation models, medical image analysis, and multimodal healthcare data integration. In this role, you will: Develop novel federated AI methodologies, foundation model adaptation techniques
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priorities. You are proficient in computer literacy and bring a research-focused, service-oriented approach to your work. Sponsorship / work rights for Australia You must have unrestricted work rights in
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, through the advancement of knowledge of soft tissue mechanics and the use of non-invasive imaging techniques. The aim of this project is to create and test biomimetic silicone-MEW valves and optimise
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for the optimisation and development of medical devices, particularly cardiovascular and urological devices, through the advancement of knowledge of soft tissue mechanics and the use of non-invasive imaging techniques
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that approximate natural settings, while allowing electrophysiological recordings, high-resolution optical imaging and optogenetic manipulation. In the current project, we are interested in studying learning and