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and are looking for a Researcher who has the following skill sets: tertiary qualifications in Medical Informatics, Computer Science, Machine Learning / Deep Learning / AI (or near completion) PhD
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, machine learning, remote sensing and silviculture to transform and upscale forest phenotyping operations. The role will be supervised by Dr. Mitch Bryson, who currently leads the Forestry Research group
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in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high-quality papers on deep learning theory, machine
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Computer Sciences to contribute to the Schools teaching and learning outcomes in the Master of Computer Science. We are welcoming applicants with expertise in all areas of computer science, including
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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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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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Machine Learning”). Working closely with Dr. Clement Canonne and his team, the successful candidate will develop and analyse new differentially private algorithms for distributed statistical inference, and
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critical, innovating at the boundaries of their disciplines and creating exciting and engaging learning experiences for our students – the global citizens of tomorrow. Design is a rapidly growing and highly
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) at the University of Sydney. The ACFR is one of Australia’s leading robotics research groups, and the Robotic Imaging Lab is focused on endowing machines with new ways of seeing the world. We are expanding our team
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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