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Field
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numerical modelling framework to simulate how light and heat interact with the target body tissue, while also incorporating neural signalling dynamics to explore how light-based stimulation affects
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volcanology and magmatic processes through the combination of detailed field studies on modern and ancient volcanoes with numerical modelling techniques. Key components of this position include leading
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-growing range of relational geochemistry data models, the University of Sydney EarthBank Project node will focus on the creation of innovative platform functionalities and numerical workflows to facilitate
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-growing range of relational geochemistry data models, the University of Sydney EarthBank Project node will focus on the creation of innovative platform functionalities and numerical workflows to facilitate
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efficiency principles and energy cost management. Proficiency in Excel or financial modelling tools for data analysis. Strong numerical and analytical skills, with experience in financial or data analysis
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
- $121,054 + 17% superannuation About the opportunity The School of Civil Engineering at The University of Sydney is recruiting for a Postdoctoral Research Associate in Global Environment Modelling of Soil
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related processes. The role requires strong computational and numerical modelling skills, and will involve working both independently and collaboratively with clients, stakeholders, and research partners
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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support
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Lead numerical modelling of carbonate sand for offshore foundations, support research outcomes, and contribute to publications and student supervision. Full-time appointment on a fixed term basis
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time