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to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig
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engineering and a strong foundation in data science. You bring a passion for solving complex problems and a track record of research excellence in optoelectronic materials, machine learning, or related fields
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig economies and prediction markets. Opportunity to supervise research students and work as part of a
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commitment to proactively keeping up to date with discipline knowledge and developments. Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire
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assigned actions and follow-ups and project status reporting. Coordinate, plan and complete marine research activities within the framework of agreed project timelines and responsibilities. Monitor, track
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approaches. Operating under broad direction, you will translate research objectives into specific experimental and analytical tasks, acting as a subject matter expert on methodological approaches and providing
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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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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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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