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failures. Be a student studying one of Engineering, Environmental Science and/or Management, Social Science, Science, Data Science, Information Technology (Data, Architecture, Cybersecurity), Business
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and industry partners, the role will examine areas such as socially responsible design, user experience, data security, trustworthy data representation and AI-enabled work practices. The Research
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independently and collaboratively, manage projects within agreed timelines and budgets, undertake field sampling and data collection, publish research findings and contribute to competitive funding
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Genetics, Quantitative Genetics, Computational Biology, Statistics, Data Science or a closely related discipline. Knowledge of genetics and genomics and a passion for applying quantitative approaches to
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two Magma Research Associates / Magma Research Fellows to develop and maintain the Magma computer algebra system (https://magma.maths.usyd.edu.au/magma/). These positions are based at the University of
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data collection, publish research findings and contribute to competitive funding applications. You will also supervise higher degree by research candidates and build productive networks with academic