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networks with colleagues and generate alternative funding projects through effective liaison with industry and government. Excellent interpersonal and communication skills appropriate for interacting with
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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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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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, etc.). Experience presenting at high quality conferences (e.g., AAPM, MICCAI, ICCV, CVPR, etc.). Ability to build effective networks with colleagues through effective liaison with industry or hospital
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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