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Field
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nanoscience, with a strong interest in surface and spin physics. Your tasks You will play a key role in conducting systematic research on the quantum coherent manipulation of spins on surfaces. Particular
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work on satellite image analysis and field inventories of ecosystem responses to tundra fires in remote Arctic sites. You will work at the Plant Ecology and Nature Conservation group (PEN) and
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using established in vitro digestion models, gut imaging techniques, and in vivo assessment of metabolic and appetite effects in healthy volunteers. The acquired knowledge can be used to inform
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analysis techniques to explore socio-economic impacts of an AMOC weakening. You will get the opportunity to connect to the IMAGE model, an integrated assessment model that couples our climate system to human
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throughout the horse breeding season (March–August). Your research will bridge basic biology and translational embryology. Using live imaging and single-cell sequencing approaches, you will investigate how
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garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary
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Qualifications Master or Honours About Swinburne University of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and
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Tomography (XCT), a non-destructive imaging technique, to perform crushing experiments of TRISO particles over a range of temperatures, thereby achieving a better understanding of the deformation behaviour
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Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
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defects without compromising structural integrity, thus ensuring passenger safety and operational efficiency. The project aims to design and prototype a ground-based automated inspection system capable