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translational environment of the UCL Institute of Neurology, the ARUK UDDI is uniquely placed to find novel targets, rapidly validate identified novel targets and mechanisms, establish screens and progress
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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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applications for a PhD-student (m/f/d; 65%, 3 years in first instance) to work on a large-scale €6m multi-site Wellcome-funded project. This position is suited for researchers who have finished or are about to
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, machine learning and AI approaches. Empower biologists to understand their datasets, using our broad training portfolio to enable data curiosity and develop analytical skills. Design innovative approaches
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shape the response to anti-cancer therapy. Recent advances in digital pathology and innovative data analytics including machine learning have enhanced our ability to identify clinically relevant spatial
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, or behavioural sciences to join our group of PhD students. Methods will include: Secondary Analysis of big data using natural experimental approaches; Qualitative Research methods and Mixed Methods. Inequalities