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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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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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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
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candidate. Be part of the Australian Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects
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proof of concept of these ideas Experience with working with IoT hardware, especially CISCO devices Qualifications at Level A: To have or about to complete a PhD in computer science or related fields
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to develop computer codes for the simulation and analysis of data from astrophysics and/or physics experiments. A willingness to travel for conferences, meetings and longer collaborative visits