12 programming-language-"INSAIT---The-Institute-for-Computer-Science" Fellowship positions at KINGS COLLEGE LONDON
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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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training and fine-tuning large language models (LLMs) to extract structured clinical concepts from unstructured EHR, pathology, and radiology reports. The role involves publishing in high-impact, peer
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of the KIS Programme Manager and KIS Principal Investigator. The post-holder will also work collaboratively with funders, NHS staff, public members and other stakeholders to plan and deliver high-quality
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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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opportunity to join a multidisciplinary team of researchers, clinicians, and patient partners on a 5-year collaborative research programme funded by a Wellcome Mental Health Award, ‘When your body betrays you
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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
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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. The Department
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research programme at King’s, focussed on establishing a competitive research niche and positioning them to apply for intermediate-level post-doctoral fellowships to consolidate their careers, from Research
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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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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