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. The project will build on electromagnetic models developed by the research team at The University of Adelaide to simulate novel electromagnetic devices and machines. The use of semi-analytical models has become
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also co-supervise PhD students and Honours students. Outputs will include characterisation of novel genes, improved methods for RG-II analysis, and a better understanding of cell wall assembly and
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enthusiasm for method development and refinement. The postdoc will also co-supervise PhD students and Honours students. Outputs will include methods for successfully growing, fixing and analysing plant
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-achieving postdoctoral researcher to join a world-leading research group in Computer Security and Machine Learning as well as Computer Science department ranked 48th in the world and The University
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engineering capability in machine learning while demonstrating the potential and impact of this knowledge for industries in Australia. To be successful you will need: 1. A completed or nearly completed PhD in
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, e.g. using machine learning techniques, to improve the accuracy of predictions for polygenic risk scores in psychiatric patients. Conducting quantitative genomic analyses of complex traits using various
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. This position will involve the development of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose
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for the specific requirements in the other Themes. This position is suitable for anyone with a master’s degree in Chemistry or Materials Science with a PhD or an equivalent degree in Physics, or a related discipline
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sustainability challenges on Earth. To be successful you will need: 1. A completed or nearly completed PhD in Plant Sciences, Development, Molecular Biology, Plant Biochemistry or related subject. 2
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-imagine plant design and bio-resource production to support long-term habitation in Space and solve sustainability challenges on Earth. To be successful you will need: A completed or nearly completed PhD in