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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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, the analysis of polaron interactions, and the exploration of exotic quantum phases through spectral signatures. Applicants should possess a strong foundation in theoretical quantum physics, with a focus on
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student to join a cutting-edge project led by Professor Xia-Ji Liu, funded by the Australian Research Council. This position offers the chance to work at the forefront of theoretical physics at the Centre
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imaging, based on absorption, provides good image contrast between high- and low-density materials, such as bones and soft tissue. However, it cannot distinguish subtle density differences between soft
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are molecules that exist in two forms, referred to as enantiomers, each being a mirrored image of the other. Different enantiomers share the same physical properties, but often have starkly different biological
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of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of
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student to join a cutting-edge project led by Professor Xia-Ji Liu, funded by the Australian Research Council. This position offers the chance to work at the forefront of theoretical physics at the Centre
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treatments for cancer patients. The project would suit someone with a strong maths, physics or engineering background who has an interest in image reconstruction and/or modelling the mechanics of the heart
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management skills. Candidates with laboratory skills and imaging are desired for this project. Must be eligible to enrol in PhD programs at Curtin. Application process Please send your CV, academic transcripts
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deep learning, imaging and data analysis would be helpful for this project. Must be eligible to enrol in PhD programs at Curtin University. Application process Please send your CV, academic transcripts