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methods for causal inference using large-scale observational healthcare data. The project will address fundamental methodological challenges in estimating causal treatment effects from longitudinal
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participate in a research training programme in the department and have the opportunity to join masters level courses (including courses on research methods). Moreover, our PhD students are supported to attend
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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
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will work within a multidisciplinary team to design and deliver a mixed-methods evaluation, contributing to research in digital health, behaviour change, implementation science, and health services
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by Industry 5.0 technologies and human–robot collaboration. Key innovations include Digital Product Passports (DPPs) and data-driven tools to improve lifecycle transparency, alongside methods
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development of the region. The Assistant Lecturer will be required to comply with the policy of the Faculty of Engineering & Design in the choice of teaching methods and technologies, and to undertake training
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the effects of new gene therapy-based treatments for acquired and genetic epilepsies. The main role is to perform in vivo studies testing minimally-invasive methods to deliver gene therapies in preclinical
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to changes in H2AK119ub1 using cancer and neurodevelopmental disease model systems. This will encompass a range of functional genomics, biochemistry and proteomics methods to investigate the precise impact
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programme in the department and have the opportunity to join masters level courses (including courses on research methods). Moreover, our PhD students are supported to attend high-quality international
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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI