34 web-programmer-developer-"https:"-"UCL"-"https:" PhD positions at Newcastle University
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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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, there is currently no biosensor that can reliably detect key TLS biomarkers. This PhD project will focus on developing novel biosensors that integrate platform sensing technology with tailored electroactive
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-of-the-art AI and computing facilities, receive tailored training and professional development, collaborate with experts across disciplines, and contribute to open-source tools that advance the wider AI
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Industries: Net Zero (PINZ) . The PINZ CDT will train the next generation of process and chemical engineers, and chemists, to develop the new processes, process technologies and green chemistries required
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charcoal from historic fires with known ages (years to decades to 174 MA old) to examine compositional evolution and preservation over geological time. By comparing these with freshly engineered biochars, we
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aims to develop novel materials and components that facilitate strong light-matter interactions and enhance nonlinear optical responses for advanced photonic functionalities. This project is multifaceted
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-efficient and high-performance photonic devices have been driven by the quantum revolution. This PhD studentship aims to develop novel materials and components that facilitate strong light-matter interactions
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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
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biodegradable and sustainable alternatives are urgently needed. This project will develop a new class of biodegradable, polysaccharide additives for use in laundry formulations, with a focus on performance
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remain limited due to a lack of systematic comparisons and underused legacy datasets. This project will develop a framework to predict sediment properties directly from geophysical data. Legacy SI data