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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
of Prof. Robert Mahony with the opportunity to travel to both the other project nodes. The candidate will be integral to all aspects of the research program in this grant including direct research, student
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Fellows to join a major program (>$20M) funded by the Advanced Research Projects Agency for Health (ARPA-H). This ambitious program focuses on lymphatic pathophysiology and the development of innovative
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Careers page for more contact information - https://www.rmit.edu.au/careers. We are a Circle Back Initiative Employer - we commit to respond to every applicant.
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@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers. We are a Circle Back Initiative Employer – we commit to respond to every applicant.
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(including alternate formats of application forms) . To discuss adjustment requirements, please contact Dani, v ia talentsupport@rmit.edu.au or visit our Careers page for more contact information - https
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component in an Honours, Masters or PhD program within a creative arts/performing arts discipline, or proven practitioner research experience and achievements. A minimum of three years professional experience
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Job Reference: 1122969 About the Role: You’ll be joining an exciting ARC-funded research project developing cutting-edge computational methods to predict and understand the organic crystal
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industry project, within our established research program in applied AI. You will work on shaping, developing, and evaluating a cutting-edge AI platform that enhances clinical decision-making. The research
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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Future Fund–supported program (2026–2030) to reduce addiction, self-harm, and mental ill health. The project integrates 20 years of binational cohort and cross-sectional data with administrative datasets