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Field
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AIS. Supporting current understanding with experiential data would inform the development of future services, improving outcomes for those with AIS and their families. Likely directions of the planned
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-based modelling with data driven surrogate approaches. The first stage of the project will involve the development of a multi-layer hydrodynamic model capable of representing key three-dimensional flow
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traits such as canopy interception, transpiration, and rooting depth influence stormwater retention, soil evolution, and biodiversity. Using these insights, you will develop a classification system and
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to stimuli? Why do patients vary in their responses to treatment? And what if the genome is altered, how would outcomes change? Central to this work is the development of probabilistic generative models and
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growth as a researcher. Specific funding to provide the opportunity to travel for collaboration, conferences and development opportunities. Receive comprehensive training provision and support from our
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training and strong technical support. This project also offers strong potential for future development towards smart wearable health technologies. 2. Candidate profile This project is ideal for candidates
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generous stipend. It comes with substantial career development opportunities including funds for networking, research costs and training, and a placement at the Dyson Institute of at least 3 months. This
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an expectation of this studentship, the student will have the opportunity to spend some time at the University of Canberra if they wish and it is valuable for the project and/or their development, but there is
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to slower, longer-term, evolution (e.g. vegetation and morphological change). For some, blue spaces may be perceived as ‘wasted space’, whilst highly engineered systems may be perceived as natural
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, soil evolution, and biodiversity. Using these insights, you will develop a classification system and decision-support framework to guide practitioners in selecting plants and designing rain gardens