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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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and experienced Research Fellow in Computational Biostatistics with excellent technical skill and extensive experience analysing complex data sets in a translational research environment. You will apply
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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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experience: Essential criteria PhD in machine learning, computer science, physics, statistics, mathematics or related field. Demonstrated developing and implementing federated learning methods (such as
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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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cells and tissues. They will maintain accurate and complete records of findings. The post holder will contribute to the analysis of data in addition to validation of data by methods such as PCR and flow
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About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics
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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 invite
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engineering and physics laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. About The Role We are seeking a highly motivated Research
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-phase clinical trials, and innovative epidemiological methods, we aim to advance understanding, diagnosis, and treatment of rheumatic diseases while improving patient outcomes. The post-holder will