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decision making in contested and dynamic environments, involving extensively applied work at the intersection of data fusion, decision making and machine learning, with real-world testing and feedback
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engineers to transform raw imaging and spectral data into meaningful, actionable insights. The role focuses on developing and optimising data pipelines, applying advanced statistical and machine learning
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plays a key role in supporting and advancing the research and strategic goals of the Australian Institute for Machine Learning. This position bridges research development and strategic operations, guiding
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exercise initiative as appropriate to achieve standards of excellence and monitor on-going performance. Demonstrated high level of computer literacy, and a knowledge of data acquisition, software measurement
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architecture of simple and complex traits Experience in metabolic pathway modelling, sgRNA design and/or machine learning would be beneficial. The path to Adelaide University We are on an exciting path
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website management. Experience in organising and managing events Strong communication skills including verbal, written and report writing skills. Well-developed computer skills including intermediate
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the School of Computer and Mathematical Sciences. The successful candidate will be an outstanding researcher in pure mathematics with strong plans for future research and broad experience in teaching and
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independently Exceptional interpersonal skills to collaborate effectively with team members and various stakeholders Proficiency in computer skills The path to Adelaide University We are on an exciting path
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. At the heart of the student experience are transformational opportunities in learning and teaching. The Student Experience branch within DASE is responsible for providing services that deliver an excellent
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experience. At the heart of the student experience are transformational opportunities in learning and teaching. The Student Experience branch within DASE is responsible for providing services that deliver