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novel technologies This Studentship is in the Electrical Connections Team, part of the CSIRO Mineral Resources Processing Program. There are 6 groups in the program, each group consists of 4-6 teams
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Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of
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, Biomedical Engineering, or a related field. About Swinburne University of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a
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agricultural research and innovation. Key Responsibilities: Conduct research in remote sensing, plant phenotyping, and computer vision, with a strong emphasis on multi-modal image processing. Develop and
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. on Artificial Intelligence , UNE, Armidale, Australia, November 1994, pp37-44 Wallace, C.S. and D.L. Dowe (1999a). Minimum Message Length and Kolmogorov Complexity , Computer Journal (special issue on Kolmogorov
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
sciences at ANU. We are a transformative centre for research in artificial intelligence, computer vision and machine learning, computer systems and software, and theoretical foundations of computing. We span
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prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship. We are committed to a differentiated university proposition in education and research
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to join a multidisciplinary team as a Research Fellow in Systems and Computational Neuroscience. This exciting opportunity is perfect for someone passionate about applying advanced imaging and computational
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Cutting-edge research including innovative imaging, nanotechnology, mRNA therapy Competitive salary offered commensurate with candidate’s qualifications and experience + superannuation + generous
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very high resolution, suitable for detecting photovoltaic modules and the cleanliness of solar panels. These images and other data can be processed by computer vision and machine learning methods