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teaching. The successful candidate will contribute to the Institute’s research and teaching activities, including the development and application of advanced machine-learning models and big data analytics in
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operational leadership. The successful candidate will further develop our teaching portfolio, including our MSc and BSc programmes, Energy Systems and Data Analytics and Sustainable Built Environments, Energy
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analytical readouts, including immunohistochemistry, confocal microscopy, protein and RNA analyses, alongside fluid and tissue-based biomarker measurements to assess target engagement and pathway modulation
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and applications to interrogate short-read, long-read, and transcriptome data. There is also the potential to develop and publish novel analytical approaches. This is a unique opportunity to work
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short-read, long-read, and transcriptome data. There is also the potential to develop and publish novel analytical approaches. This is a unique opportunity to work alongside clinical experts
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statistical data and an interest in the ways in which education can teach democratic values. The postholder will be part of a small research team based at UCL and the University of Roehampton and will play a
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such as R, Stata, Python, or equivalent for data preparation and analysis. You have strong analytical and communication skills, with the ability to contribute to academic outputs such as research papers