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of research and teaching activities involving animals to ensure the use of animals is justified and has scientific merit and animal welfare is prioritised, in accordance with the Australian Code for the care
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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as “range anxiety” are amongst the top barriers to the wide adoption of EVs. This project aims to develop a paradigm for data-driven modelling of EV behavours, optimisation for EV charging station
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, in various formats including images, texts and numeric values. The study of these unstructured data in the pathology laboratory information system (LIS), together with the information from
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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
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displacement and the length of such deformations (or displacements). As later steps, we will then look at time series data (or movies of images) and also at out-of-plane 3-dimensional deformations. This will
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malfunction and is associated with high morbidity and mortality. Current imaging techniques of fibrosis are indirect and possess substantial limitations, hence the medical need for accurate and sensitive
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Dowe, 1999a) ensures that - at least in principle, given enough search time - MML can infer any underlying computable model in a data-set. A consequence of this is that we can (e.g.) put latent factor
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on clinical trials Well-developed planning and organisational skills, with the ability to prioritise multiple tasks and set and meet deadlines Capacity to work in a collegiate manner in a team environment and
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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