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the Monash AI Institute, this program brings together researchers from Monash Medicine, Nursing and Health Sciences, Monash Information Technology, Monash University Malaysia, and industry partners to develop
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minerals and clean energy technologies. ● Work alongside leading researchers and industry experts on projects with direct industry application. ● Develop specialist technical expertise throughout your PhD
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PhD scholarship opportunity in Materials Science and Engineering: NOₓ production by plasma bubble reactor Job No.: 697669 Faculty/Portfolio: Faculty of Engineering Location: CSIRO Clayton, Victoria
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candidates may also have opportunities for sessional teaching. A tuition fee scholarship will be provided for a successful international awardee. International students are responsible for relocation, visa and
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and education institution known for turning ideas into real-world impact. It is a public research university and a member of Australia’s Group of Eight. Globally, it is ranked 31st. As the largest
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partnership between Monash University (Australia) and the University of Bayreuth (Germany). Designed to train the next generation of global research leaders, the program enables candidates to conduct cutting
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for infrastructure platforms in minerals-to-green metals transformation. It will suit a candidate interested in combining experimental materials science, advanced characterisation, and data-driven modelling to develop
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, engineering, data science and domain fields, such as healthcare, climate science and social systems to develop innovative AI methods and applications. The institute emphasises responsible, ethical and human
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it. This gives rise to many questions around AIs influence on social cohesion, the nature of knowledge production and education, cultural advancement, geopolitical challenges, national security, trust
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with annual indexation) Faculty of Information Technology Tuition Fee Scholarship (for international students only) Industry Top-up scholarship of $10,000 per annum FIT Candidature Funding of $4,000