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-of-the-art facilities at Adelaide Microscopy, including multiple transmission electron microscopes (TEM) such as a Glacios 200 kV Cryo-TEM. Additionally, resources available include the Phoenix high
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diagnostic capabilities. The skills and knowledge gained will be transferable to other applications requiring high-performance radiation detection and advanced material interfaces. Through
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plants. These advantages include being more compact, lower costs, using single-phase fluid rather than two-phase fluid used in steam turbines, higher cycle efficiency when using low temperature heat
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for Robotic and Autonomous Perception This project aims to make robotic perception systems safer and more reliable by developing new techniques that continuously monitor the performance of their machine
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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the MMI apparatus, gaining knowledge of, for example, molecular and atomic beams, ultra-high vacuum systems, cryogenic technologies and a range of measurement and surface science techniques. They will also
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young scientists to join an enthusiastic and collaborative team in an outstanding scientific environment to perform research. The successful candidates should have a biochemistry, biophysics or related
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in lab meetings, at conferences, and through writing papers. As part of our team, you will contribute to an enthusiastic, collaborative and respectful environment, in which we can perform high-quality
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highly efficient operation. TBCs are crucial to ensure the safe and high-performance operation of such critical parts under extreme temperatures and pressures; however, external contaminants (e.g. Calcium
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gate drive implementations capable of maintaining reliable switching performance under cryogenic thermal conditions. This project will involve a substantial amount of experimental work using the high