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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
machine-learning methods to investigate the deep-time controls on copper mineralisation. The role will involve developing reproducible computational workflows, generating predictive maps of copper
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Implementation Science, A/Prof Ingrid Hickman , to deliver high quality research outcomes and the efficient operation of the Implementation Science Research Program. Key responsibilities will include: Program
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with the University's key focus areas. This includes building productive research networks across RMIT and with local and national partners, both internal and external. You will be supported to pursue
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with the University's key focus areas. This includes building productive research networks across RMIT and with local and national partners, both internal and external. You will be supported to pursue
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with the University's key focus areas. This includes building productive research networks across RMIT and with local and national partners, both internal and external. You will be supported to pursue
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on indigenous.employment@anu.edu.au ANU is a large, diverse employer. We are a recipient of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network
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modelling tools to support research objectives Analysing and interpreting complex energy system time-series data. Engaging with industry and electricity network stakeholders to inform research direction
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and from individuals who may have had a non-linear career path
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program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc.) during medical imaging and
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imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc