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Are you passionate about using geospatial data and place-based analytics to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
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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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from the establishment fund for Prof Gary Williamson, who recently joined Queen’s from Australia. The position is to generate data in the area of polyphenols and health and publish high quality papers
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multimodal data fusion", working with Prof. Marios Philiastides. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced
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recruitment into EPIC-Oxford 2, a new phase of the EPIC-Oxford cohort study, and will work in close collaboration with a Data Manager and epidemiologists from the Unit. The main responsibilities will include
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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
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April 2026, working with a multidisciplinary team of clinicians, public health researchers, and data, social and computer scientists. About You The successful candidate will have a good honours degree and
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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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health data. In combination, this permits a more process-based understanding of malaria risk enabling targeting of interventions based on specific eco-hydrological settings. Main Duties and