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nationally important. During the PhD, you will have the opportunity to visit this extensive facility. The successful applicant will also make use of the analytical and pilot plant facilities available
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economy and de-centralised manufacturing. To enhance process efficiency (clean) by researching sensors and big data for factory management, product service systems, factory modelling and artificial
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systems engineering design and processes. It is expected that the researcher works closely with the academic team to develop a novel generative AI-based model and algorithm to research, analyse and optimise
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political economy of freshwater governance and freshwater pollution B. Establish the relationship between public perception and freshwater governance C. Identify how freshwater ecologies, physiologies and
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of ever-changing digital landscapes and increasingly sophisticated cyber threats, the imperative for robust, proactive security measures has never been more pronounced. This PhD research tries to establish
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environments or environments where no human intervention is possible, such as nuclear power plants or planetary exploration, etc. The specific focus of the project will be determined jointly with the student
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solutions. This research project will be conducted within the Water Science Institute, School of Water, Energy and Environment, in collaboration with national and international collaborators such as academics
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more research is required to establish the inter-dependencies between these properties with the help of high resolution images. In this research, different sets of composites material will be dynamically