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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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candidate will have an innovative mindset and interest in cross-disciplinary applications. You will have a strong work ethic and the ability to manage multiple research objectives. Some of your key
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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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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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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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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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pioneering state-of-the-art methods in multi-object tracking, trajectory reconstruction, and error reduction. About you Tertiary degree in Computer Science, Applied Mathematics/Statistics, Robotics, Physics
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research-related tasks as required to support the objectives of the project. Support, and may lead, applications for research and creative activities, including applications for external competitive funding
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are being assembled to work together on tracking and predicting the future of the East Antarctic Ice Sheet. The successful candidate will bring their expertise in satellite altimetry and/or gravimetry
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of the Australian water industry context. Demonstrated ability to undertake high-quality academic research and conduct independent studies with limited supervision. Demonstrated track record