12 parallel-computing-numerical-methods-"Prof" Fellowship research jobs at KINGS COLLEGE LONDON
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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 supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
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the supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
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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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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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of breast/glioma/melanoma cancer animal models. Experience in contributing to publications with writing up materials and methods referring to histological aspects. MSc degree or equivalent in a relevant
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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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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