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methods, the goal is to enhance the ability to identify and mitigate the risks posed by fraudulent online platforms. Required knowledge Python programming Machine learning background Text analysis Image
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for probing the atomic world. Co- supervisors are typically collaborators from within the Physics of Imaging group. Example project areas are: Developing ways to image atoms in space, energy and time Designing
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outcome is the design of methods, techniques and their prototype to implement trusted PQC migration. The potential benefit is to enhance the security of Australian critical infrastructures against quantum
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use imaging surveys at X-ray, optical, infrared and radio wavelengths to measure the emission from stars, active galactic nuclei, warm dust, atomic hydrogen and relativistic electrons. Spectroscopic
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Conventional x-ray imaging is firmly established as an invaluable tool in medicine, security, research and manufacturing. However, conventional methods extract only a fraction of the sample
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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from standard camera imagery. Such spatial computing applications represent the most significant paradigm shift in human-computer interaction (HCI) since the introduction of graphical user interfaces
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known as Team COMPAS -- includes a number of amazing undergraduate and graduate students, postdocs, alumni, and other fantastic collaborators. Please contact me if you are interested in joining our group
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theoretical colleagues. All research takes place within our dynamic particle physics research group with academics and postdocs, as well as graduate and undergraduate students. Some work will be purely