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of their relevant discipline. The Research Assistant/Fellow will embed their research expertise into the life of the School through the development of high-quality, productivity-driven research networks across RMIT
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collaborative projects aligned with the University’s strategic research priorities. A key part of the role is building strong research networks across RMIT and with national partners, ensuring the Fellow’s work
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productive research networks within RMIT and with local and national partners, and producing impactful research outputs that strengthen the School’s research excellence and reputation. We are looking
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research aligned with the University’s key focus areas. This includes building productive research networks across RMIT and with local and national partners, both internal and external. You will be supported
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motivated Research Fellow to join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting
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motivated Research Fellow to join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting
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or implementing deep learning approaches on existing clinical systems). Experience and interest in grant writing would be viewed favourably. To be successful in this position, you will have: A PhD in a relevant
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industry, research and civil society network. Its priority domains for public engagement are news and media, transport, social services and health. Learn more about the ADM+S Centre here: https