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Field
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investigation of boundary-layer behaviour, near-wall flow structures and drag-reduction performance on solid models. Set up, operate and optimise wind tunnel experiments and associated diagnostics, including
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Australia’s future change-makers and create a better tomorrow. Work that matters We are seeking a Postdoctoral Research Fellow to contribute to the development of mathematical models to predict collective
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individual to join the digital behavioural insights lab (DBI) as a Research Fellow. Our focus is on building digital health simulation models and interventions and cardiometabolic disease prevention and
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of generative AI and biophysics, the Fellow will focus on expanding the current framework to model dynamic protein ensembles. As an Empire AI-funded fellow, you will have access to the Empire AI Alpha and Beta
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road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting
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, data-driven road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and
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-time employment (currently 38.7 hours/ week.). Impedance based modelling and digital twin of grid-forming converter for study of unbalanced grid faults for Marie Skłodowska-Curie Actions (MSCA) Doctoral
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equipment, including current approaches to maintenance (run to failure, time-based, and predictive), existing models and processes used to inform current asset health, data captured (both online through
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desorption using waste heat from high-temperature systems. Develop process flow diagrams (PFDs) and system-level models for integrated hydrogen-energy systems. Perform multi-physics modelling (thermal, fluid
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Do you have a strong technical background in Machine Learning and Numerical Modelling? Are you interested in working with industry to develop Machine Learning methodologies and protocols needed