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hyperspectral imagery, useful for disease detection and monitoring. Develop validated satellite data simulation methodology. Develop disease detection and differentiation algorithms demonstrably effective on both
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years of continuous R&D. It transforms pioneering Australian research into a market-ready product for transport planning. About the opportunity Lead research and development of advanced computer vision
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product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics
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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
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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: Research: Development and validation of predictive maintenance algorithms for solar farms. Interface with industry partners for knowledge sharing and feedback. Play a key role in reporting to the funding
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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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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning algorithm for photovoltaic applications and utilising them for the investigation
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or computational frameworks. Strong interest in method development, including algorithms and/or scientific software development, with a willingness to contribute to codebases or tool creation. Evidence of
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
at the John Curtin School of Medical Research (JCSMR), within the ANU College of Science and Medicine. This role will lead the development of advanced deep learning frameworks—including graph neural networks