463 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Washington University in St" Postdoctoral research jobs in United Kingdom
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research objectives and processes; obtaining ethical approval; and conducting research involving primary data collection and analysis (predominantly qualitative, plus quantitative surveys). The project is
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situated in the Big Data Institute on the University’s Old Road Campus. NDPH contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research
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measure the impact of wood-aging on a range of foodstuffs. This portion of the project involves undertaking final validation experiments and refining the data analysis pipeline, before creating a final
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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About the Role This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr
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modelling of the impact of precipitation on mm wave fixed radio links from the high-end weather station installed at Durham University and measurement data. The successful candidate will be working in
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the project’s team of researchers together with an integrated academic and industrial project team to develop new learning and to disseminate the project findings. For more information about the Research
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approaches to reducing HFSS consumption influence UPF intake. You will conduct quantitative analysis of existing data to explore the equity and effectiveness of diverse population interventions on UPF
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. It is situated in the Big Data Institute on the University’s Old Road Campus, giving it ready access to major medical research institutes such as the Clinical Trials Service Unit, the Oxford Centre
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of reproducing aerodynamic loads in real time for physical experiments. The project combines numerical modelling, data-driven methods, and laboratory experimentation to advance next-generation real-time hybrid