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interest in a broad range of contemporary economic and social policy issues associated with entrenched disadvantage, inequality, and social mobility strong academic track record in economics and applied
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environments. Demonstrated track record of peer-reviewed publications and scholarly contributions in osteoarthritis research. Strong planning, organisation and communication skills, with the ability to deliver
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preparing student lists to ensure accuracy and compliance. Support visa-related activities by updating passport and visa records, preparing documentation for applications, tracking and following up with
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postgraduate levels. Experience with educational technologies and online delivery. Leadership in curriculum innovation and academic quality assurance. Track record of mentoring HDR students and postdoctoral
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, appropriate to the level of appointment. A proven track record of research and impact of research in the field of Early Childhood Education, including quality, peer-reviewed publications and successful grant
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for traffic video analytics, focusing on detection, tracking, trajectory analysis, and robustness in complex conditions. Conduct large-scale benchmarking, optimisation, and deployment of AI models, ensuring
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pioneering Australian research into a market-ready product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post
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to Aboriginal and Torres Strait Islander education A developing reputation and track record of publications in reputed refereed journals and presenting at conferences. Evidence of successfully seeking and
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to these values and are looking for an Entrepreneurs in Residence who has: proven experience founding, mentoring, or scaling IP-driven startups, ideally in deep tech or high-growth sectors a successful track record
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This Ph.D. project aims to combine causal analysis with deep learning for mental health support. As deep learning is vulnerable to spurious correlations, novel causal discovery and inference methods