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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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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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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
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component in an Honours, Masters or PhD program within a creative arts/performing arts discipline, or proven practitioner research experience and achievements. A minimum of three years professional experience
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Health Service and the Royal Flying Doctor Service (Western Operations), GUDRH receives funding from the Department of Health and Aged Care under the Rural Health Multidisciplinary Training (RHMT) Program