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of producing a book manuscript, or a body of articles or corpus of non-traditional research outputs, suitable for publication by the end of the fellowship value strong track record of outstanding research
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demonstrated expertise in biostatistics and econometrics, with a strong track record of contributing to team-based research outputs in-depth knowledge of organ transplantation and procurement services, and the
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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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and development of computer vision and AI/ML models for traffic video analytics, focusing on detection, tracking, trajectory analysis, and robustness in complex conditions. Conduct large-scale
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models, multi-object tracking, and post-processing methods to improve traffic video analytics in complex environments. Drive benchmarking, evaluation, and deployment optimisation of AI models, ensuring
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product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics
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on detection, tracking, trajectory analysis, and robustness in complex conditions. Conduct large-scale benchmarking, optimisation, and deployment of AI models, ensuring research innovations translate into real
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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