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The Adelaide Graduate Research School (AGRS) and 2XE are partnering to create an internship opportunity for University of Adelaide PhD students, to contribute to the organisation's sustainable
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Australian Research Council (ARC) Funded PhD Opportunity at Faculty of Engineering: High-Speed Rail and Sustainable City Sizes in Australia Location: Clayton campus Department/Unit: Monash Institute
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Apply your expertise in power systems to enhance Australia’s evolving energy networks
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities Job No.: 681214 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term
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membership is an EMBL Partnership Programme established in 2010, entitled ‘EMBL Australia Partner Laboratory Network’ (PLN). The partnership aims to seed a dynamic, highly collaborative culture across
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the youth residential care industry. This fully funded PhD scholarship offers the chance to work alongside leading researchers in residential care, systems thinking, and worker wellbeing at a world-class
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of the STAMP RSV Program, supported by the Stan Perron Charitable Foundation. The PhD candidate will play an important role in developing models of RSV transmission and vaccination efficacy to inform
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The Adelaide Graduate Research School (AGRS) and Australian Energy Market Operator are partnering to create 3 remote internship opportunities for University of Adelaide PhD students, to contribute
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fabrication facilities as well as high performance computing (HPC) facilities at QUT. PhD2: Pore-network modelling of reactive transport As a PhD student, you will develop efficient pore-network modelling
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to trick AI-based models, pay little attention to fake-normal data traffic generated by Generative Adversarial Networks (GAN). This PhD research will address a major vulnerability in AI based smart grids by