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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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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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publications and present findings at relevant conferences and seminars, assist in teaching and curriculum development for relevant courses related to deep learning, collaborate in the planning and organization
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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
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, organic chemistry and chemical biology apply learnings and knowledge from research and scholarly activity to inform educational practice and reform perform internationally leading research in the areas
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, Electronics Engineering or Computer Science solid understanding in smart grids and modern energy systems solid understanding in optimisation and machine learning techniques proficient skills in Matlab and