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PhD Studentship: Exploring Performance and Experience in Ultra-Low Energy Student Housing An opportunity to apply for a funded full-time PhD in the College of Arts, Technology and Environment, UWE
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on the performance of high strength 6xxx aluminium alloys at the Department of Materials, The University of Manchester and in collaboration with Constellium. The successful applicant will receive an annual stipend
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Ramboll and Buro Happold who work across diverse projects with key clients focused
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inconsistent. This is often because current approaches focus on adding lots of microbial diversity rather than identifying the specific microbial functions and network interactions that truly drive plant
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: Off-Site Construction for Resilient Healthcare Infrastructure and Agile Healthcare Supply Chain Performance Director of Studies: Prof Esra Kurul Supervisors: Dr Roshani Palliyaguru, Dr Kalpani
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PhD Studentship - EASTBIO - Functional Genomics of Host Determinants in Viral Entry and Transmission
recent work combines CRISPR screen ranking with pan-mammalian positive selection analysis to pinpoint antiviral and proviral genes. Using this framework, we have already identified genes that affect
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ergogenic (particularly nutrition) strategies for performance. To achieve this, various methodologies will be used, including cross-sectional and intervention studies, and the collection of biological samples
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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This PhD “Novel use of AI in Marine Monitoring” will focus on marine monitoring in NEOM Nature Reserve (NNR) within northern Saudi Arabia. The PhD will develop techniques for automation in surveying