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and Care Excellence (NICE) and other leading agencies. Depending on your level you will: GRA: Support cost-effectiveness aspects of health technology assessments (HTAs), analysing economic models
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About Us PharosAI offers a unique cancer AI product development ecosystem for drug discovery and clinical applications, democratising access to data, AI models, technologies, and capabilities
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learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial analysis Strong publication record Experience in women and children’s
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generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have some experience
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on spatial transcriptomics Proven ability to develop and optimise spatial biology pipelines Expertise in multi-omics data integration and statistical modelling Teaching and mentorship experience Excellent
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Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS