388 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Sheffield
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application of machine learning techniques. Thus, this project will address this problem and will develop technologies to transfer models and data by taking advantage of the availability of a fleet of electric
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(phonons) fundamentally degrades the coherence and quality of emitted photons, severely limiting their application. The central aim of this theoretical project is to develop advanced methods to describe and
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the development of this technology. In particular, the nonlinear and high-dimensional nature of the plasma dynamics mean that the desired reference state is challenging to compute and the control gains have to
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. What makes this crisis even more alarming is the mismatch between the pace of resistance and the pace of drug discovery. Developing new antibiotics is an expensive, time-consuming process with a high
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control. Recently magnetic quasi-particles, which form as collective localised configurations, have been realised and which can unlock further development. Skyrmions, which appear as topologically stable
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security. The offshore wind industry has highlighted the urgent need for improved monitoring solutions to reduce uncertainty and support long-term sustainable deployment. This PhD project will develop a
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to modelling unbounded continuous quantities of interest is to assume symmetric error terms (eg Gaussian or Student), but this assumption is often not met in practice. Several approaches have been developed
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safety, enables adaptability, and cuts maintenance costs. This PhD project aims to develop innovative control strategies for flexible structures modelled by partial differential equations (PDEs). Our goal
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will develop state of the art radio-voltaic devices using perovskite semiconductors. Perovskite semiconductors are attractive for radio-voltaics as they are radiation tolerant and they perform
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Post-embryonic development and anatomy of the zebrafish inner ear