65 web-programmer-developer-"https:"-"https:"-"https:"-"Simons-Foundation" positions at Newcastle University
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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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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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. 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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-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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-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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, or computational strategies to your interests—whether that involves large-scale reservoir simulation, pore-scale physics or supercritical CO2 behaviour. The project will be developed within a vibrant research
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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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. Overview This PhD project is part of the EPSRC Centre for Doctoral Training in Process Industries: Net Zero (PINZ) . The PINZ CDT will train the next generation of process and chemical engineers, and
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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
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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