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technologies, alongside the collection of neurobehavioural data. The trial collects repeated measures across infancy, culminating in a large volume of complex data. We seek an individual with specific skills and
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the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed
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, epidemiology, health data science, or other closely related disciplines. They will bring internationally recognised expertise in statistics and methodological leadership in digital trials, demonstrated by a
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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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Assistants, Research and 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
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, quantitative and/or survey designs; developing and delivering randomised controlled trials (and other experimental trials as appropriate) Convey research findings, including complex quantitative information, in
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of the poorly understood pathways that lead to hyperglycaemia in pregnancy (gestational diabetes; GDM). Data from this study will help us to understand more about why and how hyperglycaemia develops aiming
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, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We
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. Responsibilities will include, but are not limited to, co-ordinating patient activity and overseeing patient care at all stages of the research pathway; data management (collecting data, entering data and resolving
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sites will be required on a regular basis and experience in data analysis and stakeholder management essential. Successful candidates will have knowledge of the challenges affecting students in Higher