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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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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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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
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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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and reproducible outcomes that align with the project's objectives. Supervising and mentoring undergraduate, postgraduate students, and junior researchers, fostering their professional development and