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engineering and the physical sciences, human and animal health, law and regulation, business, finance and the arts and social sciences. With this distinctive approach, we are building on Surrey’s track record
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on the mechanical performance of joints subjected to harsh environmental conditions. This project allows multidisciplinary collaboration between the University of Surrey and Culham Centre for Fusion Energy/United
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Sussex; Torr Scientific | Specialists in UHV, Optical & Xray Components ) and Dr Mark Baker in the Surface Analysis Laboratory at the University of Surrey (Surface Analysis Laboratory | University
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. This investigation should facilitate the understanding of these amorphous materials by identifying some correlation to physical properties and behaviours. Ideally, the main aim of the project is to start a database in
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Centre for Clean Air Research (GCARE) and the Surrey Institute for People-Centred AI , both in the University of Surrey, having access to an amazing set of resources, infrastructure and people engaged
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. You will need to meet the minimum entry requirements for our Physics PhD programme . Applicants are expected to hold a first or upper-second class degree in a relevant discipline (or equivalent overseas
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from a surface chemical analysis technique to one which has the ability to provide structural information; going beyond the mass scale. This project aims to understand the physics behind the phenomena
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problems, rather than on investigating positive competences and abilities. In addition, different research domains (i.e. physical, emotional, cognitive etc.) have tended to be investigated separately rather
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-clinical to clinical studies. The proposed project is part of an ongoing research collaboration between Dr Carina Dunlop (University of Surrey) and Prof. Gianne Derks (University of Leiden, Netherlands) with
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In this PhD project you will join a team of scientists from the University of Surrey and the UK Animal and Plant Health Agency (APHA) to develop novel bioinformatic approaches to detect and predict