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in health and wellbeing. This practice-based research project will align with the University’s civic mission and its research priority on Arts and Health and will be embedded in the development of a
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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in GAG structure and organisation drive and/or respond to shifting developmental stages. Working Environment: Based at the Biodiscovery Institute at UoN, a multidisciplinary centre with advanced
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area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise own workload and
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Centre, our main base within two floors of the centre also incorporates a state-of-the-art containment level 3 facility. Our investigators are also based within The Molecular Immunity Unit in the MRC
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they remain flooded. Because slow sand filtration already supplies most of London’s tap water with minimal chemical input, refining it through robotics offers a practical route to low-carbon, nature-based
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This PhD project aims to develop and apply innovative photogrammetry-based analytical tools to enhance the spatial and structural characterisation of pharmaceutically relevant materials, with a
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Psychology and MRC Clinician Scientist Fellow). The post is based in the Research Department of Clinical, Educational and Health Psychology. This is an excellent environment for an early-career researcher
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instance by between two and four academic experts in the field of R&D Management. Applications will be assessed on the following criteria: Relevance to the field of R&D management - based on the research
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to improve structural durability, reduce material consumption, and support the UK’s net-zero goals. Funding notes: The position includes a full scholarship for UK-based PhD candidates and a half-scholarship