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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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. Collaborate with interdisciplinary teams across systems neuroscience and complexity (e.g., Shine lab, University of Sydney) and clinical neuroscience (e.g., Parkinson’s disease research clinic, Macquarie
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interventions). They will also assist in research project administration and reporting, data analysis, and actively contribute to research outputs and grant applications. Key skills required: (Level A) PhD in
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dataset analysis to develop novel approaches to understanding impacts on fish life history of urbanised seascapes and consider impact and restoration trajectories. The project will involve significant
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shielding, radiation damage, particle transport. Computational skills allowing to compose or modify comprehensive simulation open-source codes. Experience in data analysis and simulations of complex and