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-carbon electric power systems, taking into account wake interactions between individual wind turbines. The project focus is on how to generate and utilize reduced-complexity predictive models for windfarm
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hypergraph models of data, data complexity, structural properties of graph and hypergraph classes, algorithmic consequences, and applications. As such, the successful candidate must either have a good
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and cellular techniques with cells in culture, and studies in animal models. Some key skills required: A PhD in a related discipline, and/or relevant work experience. Demonstrated expertise and
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to work and/or be based at other campuses of the University About The Position: We are seeking a motivated Postdoctoral Research Fellow to join the Materials Modelling and Simulation Group at RMIT