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, Health Sciences, Nursing, or a related field. Strong communication and computer skills (e.g. MS Office, Redcap, data management/analysis programs and other electronic communications). Experience working
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science, machine learning, advanced computational design, and wearable technologies. To be successful you will need: Completion of a PhD in electrical, software, optical, biomedical engineering or physics
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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implement machine learning algorithms for complex data analysis. Utilise advanced programming skills (Python, MATLAB, C) and image processing libraries to develop computational solutions. Publish research
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supervision. We operate with a commitment to high standards of care and student learning, providing the latest technology, including advanced imaging equipment like CT, endoscopy, arthroscopy, and invasive