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and securing competitive funding from government and industry sources. The appointee will contribute collegially to the Department and support the continued growth and reputation of the School. Learn
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Multi-modal Machine Learning-including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers the opportunity to explore human
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and securing competitive funding from government and industry sources. The appointee will contribute collegially to the Department and support the continued growth and reputation of the School. Learn
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Teach systems modelling and integration Research complex and large-scale systems Engage infrastructure, defence, or energy sectors Promote interdisciplinary systems thinking Senior Lecturer - Mechatronics
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, staff and industry, together with a strong commitment to teamwork and multidisciplinary collaboration. Qualifications Mandatory: PhD or equivalent in relevant field To review specific key selection
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, staff and industry, together with a strong commitment to teamwork and multidisciplinary collaboration. Qualifications Mandatory: PhD or equivalent in relevant field To review specific key selection
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, staff and industry, together with a strong commitment to teamwork and multidisciplinary collaboration. Qualifications Mandatory: PhD or equivalent in relevant field To review specific key selection
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(TAE40116) or a PhD related to ICT, Cybersecurity, and Networking. The positions are expected to begin in the second semester of 2026. About the role As a VE Teacher in ICT - Cybersecurity and Networking, you
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School, College and University committees, and may also lead a discipline area or strategic learning and teaching portfolio. To be successful in this position, you'll have: PhD or demonstrated equivalence
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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