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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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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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Are you passionate about using data science and machine learning to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
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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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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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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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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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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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contract with GSTT, enabling access to data and facilitating close collaboration with clinical and research colleagues across both institutions. About The Role The TOUR team requires a Research Fellow to