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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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Selby in the School of Politics and International Studies at Leeds. The overall objectives of this project are to contribute to global climate change research and practice by exploring 1) the distinctive
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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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across the dairy supply chain. The participant will also learn about statistical analysis of data in consultation with ARS colleagues. Learning Objectives: Under the guidance of a mentor, the participant
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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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. Learning Objectives: The selected fellow in this project will have the opportunity to contribute and advance their knowledge and skills in wood products carbon related research that will involve maintaining
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key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. We
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Road and Rail infrastructures project, with nº 16540 and operation code COMPETE2030-FEDER-00771300 at the Funds Counter, funded by the Innovation and Digital Transition Programme and Lisbon Regional
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The School of Civil and Environmental Engineering (CEE) is a leading school for sustainability and environmental research. The key objective is to support efforts to excellence in providing advanced