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strengths of the University through the Australian Institute for Machine Learning (AIML) and other partners in South Australia. For the candidate, this will include the following opportunities: State
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, biomedical instrumentation, wearable technologies, biomedical integrated circuits and sensors, neural engineering, optogenetics, and medical machine learning. Quantum Engineering: quantum sciences and
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outcomes. The Stefano Mangiola Research Group at SAiGENCI is at the forefront of cancer immunogenomics, employing data-driven machine-learning techniques. Our interdisciplinary and international team
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of research achievements as evidenced by publications and conference presentations Ability to teach effectively using evidence-based pedagogy that promotes student engagement Level B PhD in data science
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collaboration with the School of Computer and Mathematical Sciences; alternatively, a three-year ‘research only’ position is available. To be successful you will need (please refer to full selection criteria