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requires complex and time-consuming workflows that limit their use in large patient populations and routine clinical practice. This project aims to develop new methods for personalising cardiovascular
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the analysis of crosslinking and immunoprecipitation (CLIP), ribosome profiling and RNA proximity-ligation data (e.g. hiCLIP). We are looking for an innovative, and highly motivated scientist who is keen to
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large numbers of heterogenous samples Applying the latest developments in AI to our research questions Integrating complex multi-omics data, including CLIP Collaborating with experimental scientists
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patients in South East London and beyond. About PharosAI PharosAI offers a unique cancer AI product development ecosystem for drug discovery and clinical applications, democratising access to data, AI assets
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groups, conducting research assessments using digital technology methods (smartphones and virtual reality), and managing large datasets. You will work closely with the lived experience advisory panel who