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-complex-materials-systems-at-the-molecular-level-with-machine-learning-phd-scholarship Who to contact for further information: Professor Paul Pigram, oni.scholarship@latrobe.edu.au . Closing date
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is to email Professor Deepak Dubal detailing your academic and research background, your motivation to research in this field and interest in this scholarship, and include your CV. If nominated
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: implementation science or qualitative research diabetes foot disease research and/or clinical practice. How to apply The first step is to email Associate Professor Peter Lazzarini detailing your academic and
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] why you want to join the research project, to the following person in the first instance: Associate Professor Russel Kingshott - r.kingshott@curtin.edu.au In your brief rationale, please indicate how
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(Department of Data Science and AI in the Faculty of Information Technology) and Associate Professor Susan Wei (Department of Econometrics and Business Statistics in the Faculty of Business and Economics
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. Working in an interdisciplinary, multi-institutional team, the successful candidate for this scholarship will help to clarify and advance the new interrogation of the political invited and enabled by
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of health, academia and industry, it delivers the research outcomes, skilled workforce, technology and partnerships to improve human health locally and globally. Supervisory Team Associate Professor Yen Ying
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University. The PhD candidate will be working with a team of distinguished researchers: Professor Charmine Hartel (Department of Management, Monash Business School; Director, Opportunity Tech Lab) Associate
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. The adoption of H2 as a cleaner energy carrier can help address these environmental issues and fulfil Australia’s commitment to net-zero carbon emissions. Considering Australia’s potential to become a major
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short courses Browse by study area Business Creative industries Digital capability Education Engineering Health Justice Languages Law Leadership Science Transformation Need help deciding? Based on your