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presentations, and contributing to proposal development. Working collaboratively across a distributed research team, while progressing independent research activities under broad supervision. Pursuing
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to optic nerve degeneration, in particular glaucoma. This project will be conducted in collaboration with Prof. Christian Behl (University Medical Centre of the Johannes Gutenberg University Mainz, Germany
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economy ecosystem” The sub-projects are ‘Building public trust in upcycling’ and ‘Designing upcycling business ecosystems’. You will conduct independent and collaborative research with Prof Jo Lindsay and
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validation of advanced algorithms for disease detection, contributing to Australia’s data-driven crop health monitoring systems. This work will support sustainable crop production and enhance national
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, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn). Experience implementing and evaluating state-of-the-art tracking algorithms such as DeepSORT, ByteTrack, and Transformer-based
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implementing and evaluating state-of-the-art tracking algorithms such as DeepSORT, ByteTrack, and Transformer-based approaches. Proven ability to design and run rigorous experimental frameworks, including
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 22 days ago
into the infrastructures, practices and cultural contexts of distributing cryopreserved biospecimens, and will study the technical, logistical and administrative requirements of cryobiological cold chains and their energy
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. Questions? For more information about this opportunity, please contact Prof Michael Yu - c.yu@uq.edu.au . For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au
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., NumPy, OpenCV, scikit-learn). Experience implementing and evaluating state-of-the-art tracking algorithms such as DeepSORT, ByteTrack, and Transformer-based approaches. Proven ability to design and run
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-based hail climatology for France, Switzerland and Northern Italy, including hail swaths per event across more than a decade. Design, develop and train geostationary satellite-based hail algorithms using