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universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and working environments, supported by
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track record of research focused on health systems, equity, and/or sensory impairment. Demonstrated experience conducting and leading health policy or public health research, ideally in areas related
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Civil Engineering team. The ideal candidate will have a strong track record of research, relative to the career opportunity in the application of advanced materials such as fibre-reinforced polymer (FRP
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Australian National University | Canberra, Australian Capital Territory | Australia | about 7 hours ago
to research as part of our academic team. Ideal Candidate The ideal candidate will hold a PhD in a field relevant to Investing in Women’s priorities and have a strong track record of independent research
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sciences. A growing profile in research in the discipline area, applying quantum optomechanics techniques into precision measurement and control of proteins. A developing reputation and track record
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(UWA) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus
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) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and
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development/modelling A demonstratable track record of research publication relative to opportunity Ability and willingness to direct and supervise higher degree by research students Position description
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in psychology, public health or related field. A growing profile in research in the field of psychology, public health, or related field, demonstrated through a track record of publications in reputed
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. Proficiency in deploying and managing wildlife camera‑trap networks and processing large image datasets. Experience developing and validating machine‑learning and AI models for image object detection and