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, analytical, and kinetics modelling techniques. To realise the sustainable development of the blast furnace ironmaking process under increasingly stringent global carbon emission regulations, major
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The position is co-funded by the National Imaging Facility (NIF), the Australian Research Council (ARC) Centre of Excellence in Plants for Space (P4S) and the University of Melbourne. We are seeking a Fellow
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of innovative plant imaging research capability Collaborate with global experts and international space agencies, and shape the future of space agriculture and Earth sustainability Invest in you - benefits
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contribution of 17% superannuation applies. Fixed term position for 36 Months. An opportunity for a Medical Research Future Fund (MRFF) Funded Senior Imaging Engineer will participate in cross-disciplinary
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of geometric flows to resolve important geometric and topological questions, and produce new theoretical tools applicable to similar systems arising in areas such as image processing, finance and material
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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are molecules that exist in two forms, referred to as enantiomers, each being a mirrored image of the other. Different enantiomers share the same physical properties, but often have starkly different biological
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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 Entrepreneurship. We are committed to a
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or airborne plant monitoring along with their underlying physical principles. Substantial expertise in image processing particularly for multi-modal (hyperspectral, RGB, LiDAR) and high-dimensional data
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record of optical design, simulation and characterisation, as well as good knowledge of broader solar cell production and characterisation processes. The successful candidate will work on an established