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delivery applications. We are growing the group to comprise around six postdoctoral staff and six PhD students, forming a highly supportive and talented daily workplace. We regularly utilize large scale
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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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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will design quantum-safe threshold encryption and/or authentication algorithms. The expected outcome is the design of methods, techniques and their software prototype to implement quantum-safe threshold
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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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people who discover them The Opportunity Postdoctoral Research Fellow to work as part of a team, alongside senior researchers, clinicians, policy makers and other CMUS research staff. This position reports
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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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confirmation) The Opportunity This is an opportunity for a talented PhD candidate with strong skills in developing prototype systems for Extended Reality (XR - which encompasses augmented and virtual reality