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compliance with high-risk ethical research with human subjects. Build a national reputation, based on a growing, focused body of work recognised for quality, excellence and impact and a growing track record of
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writing skills, as demonstrated by a strong track record of publications relative to opportunity. Demonstrated experience in designing, programming and running experimental psychology studies. Demonstrated
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Master’s in Actuarial Studies. Strong track record of publications in actuarial/risk/insurance journals. Ability to conduct independent research with limited supervision. Excellent collaboration and
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considered at level B, you will need a completed PhD with at least 3 years of postdoctoral research experience or equivalent industry experience (please refer to the selection criteria document). A track
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: labour studies, ethnography, technology, or environmental issues. Proven skills in qualitative research and working with human participants. Emerging track record of publications and research collaboration
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Criteria: A PhD in applied mathematics, engineering, computer science, data science, physics, or a related area. Strong academic track record (including peer-reviewed publications and conference
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, or Behavioural Science, bringing a strong track record of high-quality publications and practical research experience. You excel in both qualitative and quantitative methods, have advanced analytical skills, and
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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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familiarity with multi-omics data integration and AI-based analytical tools. Strong written and verbal communication skills, with a record of peer-reviewed publications and a collaborative track record in