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. This is a hands-on opportunity to shape the future of decision support tools that balance human control with scalable artificial intelligence (AI) solutions. You’ll work on cutting-edge projects—designing
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of photonic single protein sensors to observe, control and understand protein behaviour, advancing knowledge at the interface of quantum science and the life sciences. As a Level B Research Fellow, you will
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stability assessments and control development. You will: contribute to delivering the CfNETR project(s) in smart power system engineering; develop literature reviews and maintain data and knowledge
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), including a sound understanding of FAIR data principles, data management and version control. A current Australian driver’s licence or the ability to obtain one. For full details about this role, and other
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) national consultation and co-design of a model of transitional healthcare for people leaving prisons; (2) a multi-site randomised controlled trial (RCT) of the model of care, in south-east Queensland; and (3
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, cluster randomised controlled trials implementation science, data linkage, data science, machine learning and artificial intelligence. In this role, you will have the opportunity to engage in a series of
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atmosphere models Strong background in mathematics, physics, engineering or related field Experience in scientific computing, including C/C++, fortran, python, or MATLAB Version control and package management