33 postdoctoral-exercise-science PhD positions at University of Adelaide in Australia
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medical education, research, clinical practice, community engagement and the development of better prevention and public health policies in rural and remote areas. This position will act as a project
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the development of predictive models to anticipate potential failures. Additionally, the project will facilitate the transfer of this technology to industry, while also advancing academic knowledge
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mathematical integration, with the desired outcome being to increase the water and/or nitrogen use efficiency of Australian cropping systems. We propose to use a range of emerging data science approaches within
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engineering, economics, environmental, and communication expertise, 2XE offers bespoke strategies that integrate technical solutions and actionable sustainability insights. 2XE’s methodology prioritizes a
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Researcher with qualitative research experience in health service research. The Adelaide Rural Clinical School supports research, medical education, clinical practice, community engagement and the development
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approval. Enquiries: Dr. Chao Ye and Dr. Zhixiao Xu School of Chemical Engineering / Discipline of Materials Engineering Email: chao.ye@adelaide.edu.au ; zhixiao.xu@adelaide.edu.au Expression of interest
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established by Adelaide Park Lands Association to provide a PhD student an opportunity to undertake research in the field(s) of social sciences, history, sociology, politics (EXPLORE and PROTECT project streams
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to be tax exempt, subject to Taxation Office approval. Enquiries: Contacts: Associate Professor Jianfeng Mao and Dr Jingxiu Wang School of Chemical Engineering / Discipline of Materials Engineering
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University of Adelaide. Applicants should have a background in health or medical sciences, with an understanding of variations in the healthcare system across Australia. The ideal candidate should have some
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open to Australian citizens who can meet the requirements for PhD admission at the University of Adelaide, and who can demonstrate suitable experience in Mathematics, Physics and/or Computer Science