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industrial practice relies heavily on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete
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project is developing a special brain implant which works in tandem with gene therapy to stimulate the visual cortex and thus bypass the broken elements of the visual system in various blinding disorders
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: Designing and developing CAD models of test coupons and other structures Fabrication of ‘green’ test structures and sintering these across a range of conditions Characterising the mechanical properties
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interested in developing advanced research and technical skills while working on a problem with real societal impact and who are motivated to improve workplace safety in healthcare technologies and work across
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UKRI rate). Additional project costs will also be provided. Overview The project aims to explore the potential of new warheads for the development of targeted covalent inhibitors for drug discovery
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to address climate change. To bridge this gap, this project will characterise wildfire charcoal from historic fires with known ages (years to decades to 174 MA old) to examine compositional evolution and
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identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of
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of £25,726 plus a research training support grant of £20,000 and 100% fees paid. Overview This PhD project aims to develop a computationally efficient framework for the real-time prediction of river water
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have shown that the micro-scale maps they generate can be analysed using computational geography methods developed for macro-scale data. Our toolkit, STExplorer, enables access to these approaches
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. There will be scope for both observational and theoretical work, as we develop ever more sophisticated reverberation mapping models that account for general relativistic and radiative transfer effects, and