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strategic and scientific objectives coordinate governance, milestones, reporting, and operational activities across internal and external collaborators support the research grant and partnership processes
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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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. Maintain an expert understanding of the School’s research activities, its strategic objectives, as well as external research issues including University and external initiatives. Maintain an expert
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aligned with DVC-ISS priorities work collaboratively across teams to develop clear, achievable project plans that align with strategic objectives and reflect diverse stakeholder input coordinate logistics
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to engage with multidisciplinary teams and external partners. Desirable attributes include experience with spatio-temporal models, machine learning, Bayesian methods, and knowledge of environmental exposure
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to student recruitment targets, including driving significant channel and market diversification objectives. Develop specific strategies for and optimise the performance of all international recruitment
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engineers, and contribute to knowledge building while pioneering state-of-the-art methods in multi-object tracking, trajectory reconstruction, and error reduction. About you Tertiary degree in
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-object tracking, trajectory reconstruction, and error reduction. About you Tertiary degree in Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent
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demonstrate strong business acumen and stakeholder management skills, with the ability to influence, negotiate and build trusted relationships across complex environments bring a track record of leading high