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and Community Trust for a Just and Effective Net Zero Transition , a two-year, multi-region, mixed-method study focused on the role of trust in Australia's decarbonisation efforts. The project
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at the John Curtin School of Medical Research (JCSMR), within the ANU College of Science and Medicine. This role will lead the development of advanced deep learning frameworks—including graph neural networks
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this international network, tasked with establishing and building capability to support the Australian and international SKA science communities, thereby ushering in the next era of astronomical discovery and advanced
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in CFD software tools such as Ansys Fluent and CFX and with experience in coding using MATLAB, Python, and User-Defined Functions (UDFs). Strong technical communication skills. At Level B
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, you will: Support survey instrument design, testing and implementation Undertake data collection, cleaning, coding and analysis, including comparative analysis Assist with communicating results to a
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the Critical Minerals Trailblazer JCU have secured funding to undertake a high-profile research project “EarthBank: An Australian geochemistry network activity enabling the analysis, preservation and
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experience in python, C++ or other relevant language and experience in deep neural networks Strong mathematical capability, especially for Theme 1, with applicants holding an undergraduate or postgraduate
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international networks and by world-class facilities. To find out more about the Science at ANU community, follow us on social media at Instagram and Facebook For further information please contact, Professor
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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. The project, "Building the bridge from GWAS to Breeder through multi-omic network data fusion", focuses on transforming GWAS discoveries into actionable breeding insights. Using sorghum as a model, the work