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. Demonstrated expertise in robotic systems, UAV platforms, and embedded computing. Strong track record of publications in robotics, control, or autonomous systems. Experience with ROS/ROS2, MAVLink, PX4/ArduPilot
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in agricultural science, agroecology, agronomy or a related field. A strong track record of independent and collaborative research, including peer-reviewed publications. Demonstrated success in
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(or thesis submitted) in robotics, mechatronics, aerospace engineering, or a related field. Demonstrated expertise in robotic systems, UAV platforms, and embedded computing. Strong track record of publications
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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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requires skills and experience in evidence synthesis and breast imaging and/or clinical research. A track record in breast imaging and screening research or screening trials would be highly regarded. Your
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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
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environments. Demonstrated track record of peer-reviewed publications and scholarly contributions in osteoarthritis research. Strong planning, organisation and communication skills, with the ability to deliver
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experience, with a strong research profile and significant experience leading large research projects or teams. Candidates should have a proven track record of publishing in high-quality international journals
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research and conduct independent research with limited supervision. Demonstrated track record of publications and conference presentations relative to opportunity. Demonstrated ability to work in a team