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., cellulose) and possessing high tensile moduli in the range of 110-220 GPa. Accordingly, it is imperative to fabricate “Sustainable Bio-based Nanomaterials for Next-Generation Low-Cost Energy Storage
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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extend the data science capabilities and capacity created, to other inflammatory mediated diseases. This PhD studentship aims to train the successful candidate in public health research methods, health
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semiconductor silicon has powered the last 70 years of technology, new and more advanced semiconductors such as compound and molecular semiconductors are creating incredible new opportunities in areas such as
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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evaluating a class of AI technology that enable expressive, individual and masterful interactions, like a virtuoso musician who channels all of their being - physical, mental, emotional and even spiritual
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, journal clubs and training opportunities it runs.
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unexpected directions and creating unique opportunities to uncover new fundamental physics. This PhD studentship offers the chance to develop an ambitious research project at the interface of theory and
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to develop, because all of the features associated with the small- and large-molecule drug components must be optimised together. Computational mathematical modelling is used to make the optimisation of ADCs
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health. This project seeks to develop triple respiratory epithelium models that links different areas of the airways (nasal cavity, bronchi and alveoli) through a circulating fluid system. The models will