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PhD Scholarship – Modelling the social and political drivers of net zero transitions Job No.: 670767 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment
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Status: Open Applications open: 30/10/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Applications are open for the 2024 HDR Scholarship in flow assurance and corrosion mitigation at Curtin Corrosion Centre. Curtin...
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understand its fundamental causes has been limited to animal models and trials. There are over 27 animal models for neuropathic pain where pain has been induced by macroscopic & microscopic nerve lesions
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. The Power Systems team contributes to this mission through applied research in modelling, control, and optimisation of energy networks. As a Senior Power Systems Research Engineer, you will work on advanced
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For better or for worse, Generative AI is changing our world. A key challenge in Generative AI is many-shot jailbreaking—where a language model, despite being explicitly trained to reject harmful
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techniques, theoretical modelling, and precise synthetic control – have significantly improved the activity, selectivity, and stability of CO₂-to-alcohol conversion. Key catalyst systems include Cu-based
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augmentations such as project energy connect, Humelink, Marinus Link ETC Lack of available accurate generator and reinforcement models Protection and emergency control scheme modelling challenges. The research
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to hydrogen production in continental interiors? What is the role of fault and fracture-related permeability in the transport of hydrogen within Earth’s crust? What are the key geological controls
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, precluding the use of any non-conductive coating. A coating designed to enhance stereo control and favour the formation (or detection) of one enantiomer over its mirror image will inevitably impair electron
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Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning