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for the first four full-time equivalent years of your doctoral studies. You will have the opportunity to work with leading national and international researchers – experts in social network theory, qualitative
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algorithms to achieve real-time control and process optimisation of drainage pipe networks. It seeks to improve the operational efficiency of urban wastewater systems, reducing energy consumption and extending
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tailored for the unique challenges of rural, regional, and remote Australian roads. AVR3 fosters a collaborative network of experts from multiple academic partners (including QUT, the University of Sydney
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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e.g. Python/R. Desired experiences: Molecular laboratory, bacteriology and/or cultivation-based experimental work. Network-based analysis of multi-omics data. Molecular lab experience A PhD student with