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future development of an ongoing epilepsy research project funded by the UK Epilepsy Research Institute. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on
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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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’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. The Department of Women and Children’s Health is a lively and supportive
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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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specialising in neuroimaging and so the RA does not need familiarity with neuroimaging methods). Trial-related paperwork including NHS and KCL ethics submissions and amendments, tracking and reporting safety and
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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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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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which they operate. We have established collaborations across the globe and built a research programme that leverages high throughput, high-resolution sequencing platforms and novel analytical methods
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for candidates to have the following skills and experience: Essential criteria Masters qualified in relevant subject area [sociology, bioethics, anthropology or similar] Skills in qualitative research methods
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, state-of-the-art laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. About the role We are looking for a highly motivated