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Full-time continuing opportunity Join the Sydney Informatics Hub (SIH) and help enable world-class research computing capability across the University Base Salary $152,045 - $160,430 + 17
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Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims to improve fluid-dynamical
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project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims to improve fluid-dynamical understanding of how magmatic ore
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intersection of fundamental discovery and real-world impact, the role offers opportunities to collaborate with quantum computing companies, application-domain partners, Queensland research institutions, and
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, apply appropriate analytical or numerical methods, interpret results, and contribute to the preparation of publications and research presentations. Demonstrated ability to work independently while
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formulate and investigate complex research problems, apply appropriate analytical or numerical methods, interpret results, and contribute to the preparation of publications and research presentations
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increase in data volume, it is necessary to adopt parallelism techniques to achieve reasonable query response time. The main focus will be on parallel query processing, which is the main driver for Big Data
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increase in data volume, it is necessary to adopt parallelism techniques to achieve reasonable query response time. The main focus will be on parallel query processing, which is the main driver for Big Data
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systems develop connections between the Maslov index and the Evans function investigate fast-slow decompositions using geometric and asymptotic methods apply analytical and numerical methods to
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practices using a combination of numerical modelling, field-based research, data analysis and physical experimentation. You will contribute to: Developing and applying numerical models to investigate