474 web-development-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" PhD positions in United Kingdom
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modes of molecular recognition and new catalytic strategies that are not easily achievable through established non‑covalent interactions. Despite the rapid theoretical and conceptual development
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contribute to the field of planetary science and to develop a world-leading expertise in geophysical, numerical and experimental fluid dynamics. The successful candidate will also be able to develop
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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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The PhD project aims to develop dynamic pressurisation techniques for real-time crystallography and spectroscopy studies of samples in a liquid environment. It will be used for in-house macroscopic
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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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, many current UV-filter ingredients raise concerns around safety and ecological impact. This PhD project addresses this urgent need by developing bio-inspired sunscreens, drawing on nature’s own solutions
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to the conventional total pressure rake and measures the full three-components of velocity. The aim of the project is to develop, and exploit, an approach to synchronously measure the velocity and total pressure flow
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engineering, structural, aerodynamic & manufacturing process modelling and optimisation techniques that will transform current design & development practices. Together we will make technological advances
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Asia (SEA), focusing on Manila (Philippines) and Ho Chi Minh City (Vietnam). This position will be based at the School of Engineering at Newcastle University, focusing on developing models to predict AMR
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4D imaging, their high data rates limit their use in real-time applications. As a result, the available benchmark data for developing numerical models to predict transient multiphase flows is limited