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and complex system simulations develop, implement, test, and benchmark computational models, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling
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digital twin capability for complex urban and infrastructure and urban systems. Working under the supervision of Professor David Levinson , the successful candidate will contribute to the development
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digital twin capability for complex urban and infrastructure and urban systems. Working under the supervision of Professor David Levinson , the successful candidate will contribute to the development
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to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength continuation methods to identify contact points
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-autonomous systems, and their applications to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength
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School offers undergraduate majors in computer science, information systems, data science and software development within its flagship Bachelor of Advanced Computing degree and combined degree programs