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p.a. plus 17% super Join the ARC Centre for the Mathematical Analysis of Cellular Systems Develop and apply statistical/machine learning methods to analyse biological data. Salary packaging, subsidised
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, including machine learning, network analyses, and graph theory, to extract meaningful insights from neuroimaging data). Integrate neuroimaging data with clinical, behavioural, and psychophysiological measures
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- $88,228 p.a. plus 17% super Teach small group classes, manage online assessment systems, and develop teaching materials in mathematics and/or statistics. Engage in innovative teaching practices and
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: Level A: $83,468 - $113,262 p.a. plus 17% super Conduct advanced research at the intersection of machine/deep learning, communication networks, and game theory, focusing on interdisciplinary topics
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design and innovation, including cross-disciplinary approaches Teaching and learning innovation grants (with emphasis on national competitive and peer reviewed) Publications, including (but not limited
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multidisciplinary teams of mathematical, computational, and biological scientists to develop and apply statistical and machine learning methods for analyzing complex and large-scale biological data. This position
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. The candidate will collaborate with a multidisciplinary team of researchers and contribute to the advancement of knowledge in this area. Qualifications Master's degree in machine learning Knowledge of deep
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master’s or PhD degree in a relevant field, such as politics, social science, or law. Proficiency in a variety of computer applications, including the Microsoft Office suite and WordPress, ideally with
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Intelligence, Computer Science, Human-Computer Interaction, and Information Systems. The School of Chemical and Biomedical Engineering (CBE): Sustainability & Circular Economy, Pharmaceutical processing, Food
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in order to maintain its lead in research and teaching. We have an existing highly successful research team in the area of the appointment, a large number of PhD students, and a substantial cohort of