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PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis Job No.: 695949 Location: Clayton campus Employment Type: Full-time Duration: 3-year and 3-month fixed-term appointment
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, particle image velocimetry and quantitative image-based analysis of aerosol transport. Design, fabrication and bench-top validation of an adaptive soft-mist inhaler research prototype. Low-inspiratory-flow
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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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inform or design future experiments. As a researcher in my group, you would not only develop imaging theory and analysis tools to answer science questions about where the atoms are, what they are, and how
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for examining and imaging the magnetic fields from exotic conducting materials (e.g. superconductors, topological insulators), performing high bandwidth and high sensitivity vector magnetic sensing and developing
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My research connects stars, dust, and gas, with the goal of building a unified multidimensional picture of the Milky Way and nearby galaxies. I am particularly interested in the lifecycle of matter
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transformation, impurity evolution, and microstructure development. The candidate will use advanced in situ X-ray methods, including diffraction, scattering, spectroscopy, imaging, and complementary multimodal