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Two full-time fixed term positions: one for 4 years and one for 3 years at Camperdown Opportunity to contribute to research for future intelligent wireless communications Base Salary Academic Level
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visualization; applicants are encouraged to include links to relevant code or repositories in their CV experience working with multimodal or data‑driven research workflows and translating quantitative outputs
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visualization; applicants are encouraged to include links to relevant code or repositories in their CV experience working with multimodal or data‑driven research workflows and translating quantitative outputs
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intelligence. This new technology has created demand for a new breed of engineers. Our school has over 90 staff and more than 2,500 students, across undergraduate, postgraduate, master’s by coursework and PhD
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artificial intelligence tools for medical imaging. The role will support the design of deep learning and predictive models for tumour segmentation, cancer detection, risk prediction, and outcome modelling
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art and visual cultures of East Asia and related diasporic communities. Under the mentorship of the Chair, the Fellow will pursue independent, high-impact research while contributing to UNSW’s growing
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-intelligence (AI) to improve radiation therapy treatment for patients with cardiac arrhythmias. In this project you will build new targeting technologies based on AI and x-ray imaging that solve the challenges
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Australia’s manufacturing sector through intelligent automation, technology innovation, and workforce development. This collaborative project will advance the next generation of wear- and corrosion-resistant
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intelligent decision architectures, predictive analytics, and adaptive computational models that can operate in dynamic, uncertain, and high-stakes project environments. The appointee will conduct original
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programs-ranging from national infrastructure to major technological rollouts. The project focuses on developing intelligent decision architectures, predictive analytics, and adaptive computational models