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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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, 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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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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career as a mentee and a mentor, and to expand your research network when liaising with collaborative research partners. To learn more about the team leads at Faculty of Engineering, click here for Prof
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Camden (semi-rural) and has three teaching hospitals that provide unique learning experiences and research opportunities. The School also provides diagnostic services for clinicians and researchers using
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established targets and deadlines, Excellent communication and interpersonal skills, Hands-on experience with robotic platforms, ROS, and/or deep learning frameworks (Tensorflow and others), and OpenCV would be