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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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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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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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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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approaches in structural biology, and comfortable working with large-scale datasets and model benchmarking. Strong analytical, organisational, and communication skills are essential, along with the ability
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record of peer-reviewed publications and have excellent analytical skills in a range of advanced quantitative methods (particularly utilising cross-sectional surveys like the IEA International Civic and
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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