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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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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 opportunity for an early
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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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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
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impact assessment of soil borne diseases on the Australian Grains Industry. Your responsibilities will include but are not limited to: Developing code and using statistical software to manage and analyse
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to: Developing code and using statistical software to manage and analyse data Contributing to the drafting and dissemination of research results through seminars, workshops and conferences. Publishing/exhibiting
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related field. A demonstrated ability and understanding of research in the field of paleo ice sheet reconstruction. Demonstrated success in fostering and sustaining meaningful, productive networks across