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Field
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. You will also be responsible for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. You will also be
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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
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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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science field. Experience in molecular epidemiological studies, including managing large datasets, is highly desirable. Relevant experience in host-pathogen interaction research, including in vitro tissue culture
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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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’) with responsibility for the day-to-day project, budget and research activities. You will also undertake research including developing and fine-tuning large language models and topic modelling methods
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strategies. The University of Nottingham is leading a large programme grant ‘Public Health Intervention Responsive Studies Team’, funded by the NIHR until 2027. PHIRST-LIGHT is a collaboration between the
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(HPB). The medical oncology grouping sees close to 550 new cases of these cancers a year. There is a large active clinical trials programme that spans phase 1 to phase 3. These patients have a poor
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essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential
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. This role represents a unique opportunity to generate biological insights from our large-scale research datasets including single-cell multiomic sequencing data from skin and blood to enable