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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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PhD Opportunity – Advanced Microwave Sensor Design for Detection Technologies The School of Electrical and Mechanical Engineering at the University of Adelaide is seeking a highly motivated PhD
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-year stipend scholarship to support pioneering research on wave energy converters. The successful candidate will work on cutting-edge experimental design and numerical modeling to better understand
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key contributor to our research team, you will pioneer AI-driven methods to analyse cancer-related biological data, aiming to uncover novel patterns and mechanisms underlying cancer progression and
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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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analysis, using cutting-edge techniques including dynamic contact angle measurement, X-ray diffraction, mid-infrared spectroscopy, and synchrotron-based approaches to understand the mechanisms driving SWR
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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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research, including experimental design, execution and manuscript writing across multiple projects. The path to Adelaide University We are on an exciting path to Adelaide University as we prepare to open our
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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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Masters or Honours degrees in the following disciplines, or with equivalent research or work experience, will be favourably considered: Applied Mathematics; Data Science; Physics, Electrical or Mechanical