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analyse and visualise the resulting patterns to uncover fundamental principles of neural circuit organization and function. This work bridges computational neuroscience, systems biology, and data
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digital research information infrastructures in the practices of research evaluation and their governance. The project the Research Associate will work for pursues the following core research question: How
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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also involves scoring assessments, entering data into electronic databases, data analysis and writing research papers. This is a full-time post and you will be offered a fixed term contract until 18/12
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for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in
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. This will involve using physiological measurements using state of the art equipment, undertaking data collection and randomised trials. The studies will optimise will delivery suite management and critically
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and Carer Race Equality Framework (PCREF) sites (London, Birmingham, Manchester, Black Country), drawing on existing quantitative data and new qualitative data. A key part of the role will be building
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role, we
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information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Full GMC / NMC / other relevant body registration with valid