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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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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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of organoids in response to standard of care chemotherapy and novel agents. In parallel the project will seek to develop novel 3D organoid invasion assays. The Post will be primarily based on the Guy’s Campus
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publications Presentation skills Experience working with mouse models Knowledge of bioinformatics Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience
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also provide support to bioinformatic analyses and data management. The successful candidate should have experience with analysing genomic data, be willing to work as part of a team and to be open-minded
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experience: Essential criteria PhD awarded in genetic epidemiology, statistical genetics, bioinformatics or related discipline Postdoctoral research experience in genetic epidemiology, statistical genetics
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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in rheumatoid arthritis. In addition, the role holder will provide technical support for the processing of rheumatological samples (human blood, synovial fluid and synovial tissue samples) for ongoing
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stage of the recruitment process. Further information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in
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information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel