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Fellow will be using Natural 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
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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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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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role We
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role We
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. They will have significant research experience in relevant fields and methods, and will be expected to develop independent and collaborative research and evaluation projects. As Senior KM Fellow, the
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staff. The awardee will develop a diverse set of research skills, including qualitative and quantitative methods, and gain experience in research of national and international significance. We are seeking
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, responsibilities, plans, awareness of funding schemes relevant to Faculty research themes Evidence of continued development in research methods in health services or clinical research, with increasing expertise in
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already commenced training in general cardiology and wish to gain more sub-specialty experience in Cardiac MRI (CMR), by taking an Out-Of-Programme Experience (OOPE) from their current training programmes
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The Cutaneous Immunology Group, Skin Inflammation Genetics Group and Genomic Medicine at King’s College London. The internationally leading precision medicine inflammatory skin disease research programme includes