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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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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
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projects in both analog and digital simulation includes an opportunity to teach courses in the School of Chemistry, ideal for candidates who wish to develop their teaching track record. In all three
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literacy with a good knowledge of relevant computer programs, and ability to work across and connect these as needed. Desirable criteria – you may have (or be willing to learn) the ability to write research
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by Professor Eduardo G. Altmann to work on the ARC funded project “Learning the meso-scale organization of complex networks”. The project involves the development and application of mathematical models
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of Professor Geordie Williamson at SMRI. The successful applicant will undertake research in either modular representation theory, or the use of machine learning techniques in pure mathematics research