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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About Us We are offering an exceptional career opportunity for an accomplished Research Fellow to support the data analysis and data management team
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area with the potential to drive significant improvements in health and healthcare. You will be based within the Leeds Institute for Data Analytics and part of the Leeds Institute for Cardiovascular and
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applications. The role will focus on creating demonstrator platforms that combine sensing, data integration, analytics, and visualisation to support better understanding and management of energy use, flexibility
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation protocols for plant
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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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, 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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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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data visualisation to researchers working on the Leverhulme funded project ‘Social and spatial encounters over time: Revisiting Katharine Buildings’ The project explores how people lived with
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professional services teams. Further information For further information please contact Prof. Catriona McKenzie, e-mail c.mckenzie@exeter.ac.uk . Applications should be made via our website. For more information