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publications. The successful candidate should have experience in large-scale analyses of protein-RNA interactions. Experience applying deep learning to genomic sequence data, including fine-tuning of
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capable of estimating anatomical, mechanical and electrophysiological parameters from large imaging datasets while addressing the challenges of limited patient-specific data and uncertainty in model
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focuses on analysing multimodal data collected from wearable devices (e.g., heart rate, sleep patterns, physical activity) and voice biomarkers to identify patterns linked to maternal health outcomes. The
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epidemiological scenarios. A key responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from
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offer a range of Postgraduate programmes, including in Big Data in Culture & Society, Digital Culture & Society and Digital Asset & Media Management, as well as our MA/PhD research degrees in Digital
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, websites, online content, publicity and stakeholder engagement activities where required. Support Patient and Public Involvement activities including participant recruitment, data collection activities
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literature reviews, policy analysis, interviews, focus groups and other qualitative research methods. The candidate will examine questions such as how comfortable people are with their health data
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investigate how pressure differences can be calculated directly from magnetic resonance imaging (MRI) and ultrasound data, reducing the need for invasive measurements in selected clinical applications
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, artificial intelligence, health informatics, health data science, population health or a relevant discipline. Specialist knowledge and research expertise in digital health, artificial intelligence for
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health, artificial intelligence, health informatics, health data science, population health or a relevant discipline. Specialist knowledge and research expertise in digital health, artificial