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, to quantify the spatiotemporal flux of natural hydrogen in distinct reservoirs ranging in age from Mesoproterozoic to Cenozoic, discriminate between potential hydrogen generation mechanisms, and assess
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upcycling of spent metal oxide cathodes, particularly, high Ni-containing oxides, through chemical-mechanical approaches, ionothermal/molten salt methods, etc. Project 2 (2 PhD students): Direct Recycling
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prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs
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reservoir engineering, the main research is focused on mathematical physics, exact and asymptotic solutions of non-linear partial differential equations, and analytical methods in fluid mechanics. MSc
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their joints using our statistical shape and appearance model. We aim to better understand how alterations in joint mechanics affect the morphology and composition of human joints – some will thrive and others
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herbicide and antimicrobial resistance that threatens the global agricultural and health industries. This exciting project will draw on parallels with drug resistance to investigate a new molecular mechanism
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: Contact Person: Dr Nataliia Sergiienko School/Discipline of: Mechanical Engineering Tel: (08) 8313 6465 Email: Nataliia.sergiienko@adelaide.edu.au EXPRESSIONS OF INTEREST: Expressions
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encompassing postdoctoral researchers, PhD and Honours students, and collaborate with national and international researchers in academia and industry. Eligibility: Must be an Australian/New Zealand Citizen
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students to study the preconditions influencing the formation of national hydrogen strategies, the mechanisms influencing market adoption of Hydrogen for Net-Zero Initiative ( ) technologies, and the