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: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and
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the project lead peer reviewed outputs relevant to acoustic tracking and project modelling objectives, and other objectives as appropriate. About you The University values courage and creativity; openness and
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preparation of peer-reviewed publications relevant to project objectives support occasional teaching activities and contribute to the supervision of undergraduate and postgraduate students. The ARC-funded
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