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PhD Scholarship Opportunity – Software Engineering for Social Good Job No.: 677910 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment The Opportunity
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Doctor of Philosophy (PhD) or Master of Engineering Science (Research) International Scholarship Opportunities at Faculty of Engineering Location: Clayton campus Employment Type: Full-time Graduate
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Doctor of Philosophy (PhD) or Master of Engineering Science (Research) Domestic Scholarship Opportunities at Faculty of Engineering Location: Clayton campus Employment Type: Full-time Graduate
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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
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Australian grain growers face increasing challenges from seasonal uncertainty, rising input costs, and climate variability. This PhD project offers a unique opportunity to be at the forefront
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observational research (e.g., simulations) and/or lab or field experiments Experience with the analysis (e.g., sequential analysis, multilevel modelling) and interpretation (e.g., conference presentation
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, nominate Dr Andrew Stephens as your proposed principal supervisor, and copy the link to this scholarship web page into question two of the financial details section. About the scholarship This PhD project
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determined by combining the observed space density of galaxies, the measured spatial distribution of galaxies and simulations of the dark matter distribution. Example themes for student projects follow and
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support package over a period of up to 3.5 years for full-time studies and 7 years for part-time studies. It is intended that the Activity Lead undertakes a PhD full-time. An exception to this may be
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manufacturing sectors into valuable products. The scholarship will support one student to work on the development of novel biomass based adsorbents for CO2 capture. A combined experimental and simulation methods