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of faceted, nonspherical granular particles. This multi-PI project integrates graph/network theory, granular mechanics, 3D X-ray diffraction and imaging, and discrete element method simulations. The successful
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. The aims of this post are the determination of the caffeine concentrations in human saliva using HPLC techniques, pharmacokinetic modelling and simulation of the obtained saliva-concentration pharmacokinetic
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will mainly work on projects related to quantifying micro- and nanoplastics in environmental and biological samples and understanding the environmental processes that degrade plastics photochemically
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simulation, and the integration of market design with power system planning and operation. Through analytical modelling, optimisation, simulation, and data-driven methods, the positions will contribute
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project leads and researchers to ensure technical accuracy of the interface Support integration of simulation outputs across Projects 3-1 and 3-2 Manage and process large sets of operational data for case
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Electrical and Computer Engineering or similar area. Minimum profile: • Knowledge of electromagnetic simulation using tools such as CST Studio Suite or Ansys HFSS. Preference factors: • Experience in
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complete application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from
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people who discover them The Opportunity 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
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one of the following fields: process-based model development, Earth system model simulation and analyses, data assimilation, large-scale data collection and synthesis, high performance computing, and
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focused on the development and application of recycled and waste-derived materials for advanced engineering systems. The role will emphasise computational modelling, simulation, and data-driven approaches