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Work with world-leading researchers in robotic sensing and perception Contribute to fundamental research in forest imaging and 3D deep learning Full time, 17 months fixed term position, Level A
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2-year, Full time fixed term position. Located at the School of Mathematics and Statistics, Camperdown Campus Opportunity to contribute to research for Deep Learning Theory at the University
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, Level A/B $86,584 p.a. - $122,830 p.a. + 17% superannuation About the opportunity Are you excited by the opportunity to apply machine learning techniques to discover new solutions to human health? Early
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the Faculty of Medicine and Health. Your key responsibilities will be to: Undertake teaching in the discipline of Physiotherapy, contributing to outstanding teaching and learning outcomes support the
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partners and stakeholders use mechanistic modelling to spatialise crop yield predictions under a variety of data input scenarios use data-driven models and machine learning to better understand the spatio
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, working with Dr. Clement Canonne on efficient privacy-preserving algorithms for distributed learning (as part of the ARC DE230101329 project on “Trading Privacy, Bandwidth, and Accuracy in Algorithmic
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to grant applications and submissions supervise postgraduate and honours research students co-ordinate various administrative tasks associated with research projects. have machine learning and programming
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collaborator with the aim to use machine learning/AI approaches in combination with commercial multispectral and hyperspectral remote sensing platforms to perform within-field mapping of weeds and disease in
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independently learn new skills and technologies contribute your knowledge and skills to the development of research projects take on training and informal supervising/mentoring roles for students and research
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from conception to grant application stage ability to teach in architectural studio or lecture contexts excellent verbal and written communication skills in English. To keep our community safe, please be