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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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double-edged sword” funded by the Australian Research Council. The project will use state-of-the art computer models that incorporate the latest frameworks on soil organic matter interacting with plant
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meaningful work, you’re in the right place. Why Your Role Matters: Join a leading research team at UNSW Business School, where you'll contribute to cutting-edge work on modelling and managing retirement, aged
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pressure, temperature, mineralogy and brine composition. The output of the research includes an extended database predicting relative phase permeability, capillary pressure and kinetics coefficients
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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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contribution of 17% superannuation applies. Fixed term, full-time position for 3 years. Scaled physical models provide powerful tools for multiscale 4D analysis of complex geological processes from the formation
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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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CEPAR’s Asia program. Conduct research independently or as part of a team. Build and use models, software, and databases; analyse data and share findings. Help prepare funding applications with guidance
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AAV constructs in a wide range of in vivo models, followed by behavioural testing, sample collection and in depths analysis utilising molecular and cellular biology techniques. Additional
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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