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techniques for autonomous and data-intensive systems. The role is part of a defined program of research aimed at developing resilient and high-performance AI architectures for secure and real-time applications
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nationally by the GRDC Soil Borne Disease Initiative Program 1 – Economic impact of soilborne disease , with a focus on meta-analysis and economic impact analysis. In this role, you will develop an economic
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nationally by the GRDC Soil Borne Disease Initiative Program 2 – Mapping soilborne disease at a paddock scale . In this role, you will develop guidelines for a diagnostic pipeline using satellite imagery
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qualification in a relevant discipline (e.g. astronomy, astrophysics, physics, or computer science). Demonstrated relevant subject/discipline knowledge and knowledge and experience in relevant research techniques
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Job Reference: 1122969 About the Role: You’ll be joining an exciting ARC-funded research project developing cutting-edge computational methods to predict and understand the organic crystal
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role in delivering a program of research aligned with improving the lives and services for people living with young onset dementia. Working closely with Associate Professor Elissa Burton, you will