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discipline Demonstrated experience in empirical research (quantitative, qualitative, or mixed methods) Strong written communication skills A clear interest in interdisciplinary research on AI, decision-making
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, communities and homes to prevent problem behaviour and mental ill-health. It is expected the project will lead to the development of systemic and targeted interventions to improve local and global health
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in an innovative and interdisciplinary approach. A background in science and engineering or social science and policy analysis is desirable. Experience with systems modelling (e.g. system dynamics
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to biomedical applications. Students will have access to our X-ray imaging laboratory in the New Horizons Research Centre for developing new technology. We also regularly perform experiments at the Australian
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
to modulate protein translation. This project will use RNA cross-linking technology to understand all of the RNA-mediated control elements that contribute to the system of regulation that links metabolic needs
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scientific expertise include safety in all modes of transport, in the workplace, in the community and in the home. MUARC’s goal is simple but profound: to prevent injury, save lives, and build futures
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the research outcomes, skilled workforce, technology and partnerships to improve human health locally and globally. Supervisory team The project will be co-supervised by Associate Professor Shalini Arunogiri
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, histories, health, communications, geographies, policies and institutions. Our researchers are helping to: unpack the social and ethical complexities of climate action; support adaptation and resilience
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I supervise a wide range of PhD projects on experimental research into the electronic properties of novel quantum materials including topological insulators, graphene, and other atomically thin two-dimensional materials. I am interested in creating a low-power topological transistor, in which an...
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For better or for worse, Generative AI is changing our world. A key challenge in Generative AI is many-shot jailbreaking—where a language model, despite being explicitly trained to reject harmful