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The job information is shown below. Please click on the links to see full details. As part of UWE’s Computer Science Research Centre , you will join a national team delivering TREvolution
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across the University to ensure the University has access to effective research Management Information from both internal and external sources. This is a fixed term post for one year If you would like
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provide senior-level leadership and data expertise, supporting the Reporting team and working collaboratively with our skilled wider Business Intelligence and CIS teams. We need a confident communicator who
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operando data related to battery degradation and safety. You will develop and implement advanced deep learning models to analyse multi-modal operando data from accelerated stress testing, with the aim
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify
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on the university's website, accessed by the 'Apply' button) for full details of this role. Further information For further information, please contact Haydn Wall, email h.j.wall@exeter.ac.uk , or telephone (01392
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and electromagnetic theory and RF design, and know-how of information theory Experience with CST and/or FEKO and/or HFSS Experience in MIMO systems and models including white-noised, scalar-quantity
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of leisure management software Provide first line support and troubleshooting expertise for leisure management system issues and user queries. Manage and oversee customer data and access within sport systems
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allowance The London School of Economics is a cosmopolitan university situated in the vibrant centre of London that specialises in the study of social sciences. LSE’s Data and Technology Services division
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Role Summary The postholder will conduct quantitative fault seal analysis using seismic interpretation and petrophysical data to assess fault leakage potential in CCS candidate reservoirs. This work