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, providing opportunities for creating rich contextual environments without having to conduct site visits. This PhD project aims to leverage innovative spatial computing technologies and proposes Immersive
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-route tasks to maintain uninterrupted service. This research area involves developing fault-tolerant systems that adapt to hardware and software failures. Students will work on predictive maintenance and
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Generative AI NLP skills System security Software testing To be eligible you must have: A first-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near
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you will demonstrate research leadership, including supervision of PhD students, and contribute actively to the Department’s educational, research, and administrative activities. As the successful
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of a team as well as the ability to exercise independence and judgement where required Highly developed computer literacy, including experience using business software such as Microsoft Office Strong
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accessibility issue for blind people. As part of a project funded by the Australian Research Council, this PhD project aims to devise novel techniques to build a multimodal natural language (NL) generator
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". A number of emerging approaches, such as zero resource and unsupervised NMT, have investigated alternative methods in developing NMT models where sufficient parallel corpora are not available (eg [1,2
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vision and pattern recognition methods, will be utilized to automate the process of fingertip detection. These methods will be trained to learn patterns from fingertip features and detect them using object
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Demonstrated experience across the software development life-cycle, including proven involvement in estimation and business case development, systems specification and design Proficient ability in undertaking
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Designing Secure and Privacy-Enhancing Frameworks for Digital Education Credentials Testing AI/LLM systems Automated software testing and debugging with/without LLMs Using AI and machine learning to improve