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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies. About the role
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skills and experience: Essential criteria PhD in statistics, biostatistics, epidemiology, health data science, or other closely related disciplines Proven internationally recognised leadership in
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have: A PhD (or equivalent) in a relevant discipline (e.g., biostatistics, machine learning, computer science, clinical informatics, natural language processing). Strong skills in data analysis and
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level. Successful candidates will teach and supervise students who are serving officers and civil servants in the UK and allied armed forces and partners. There are also opportunities to contribute
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) efforts to ensure authentic, patient-centred interpretations of the data. To be considered for this role, you should have: A PhD (or equivalent) in a relevant discipline (e.g., biostatistics, machine
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Shrivenham and will undertake high-quality scholarship and support a range of professional military and security education courses at the postgraduate level. Successful candidates will teach and supervise
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, healthcare, and industry to drive innovation and maximise translational impact. The post holder is required to hold a PhD degree in statistics, biostatistics, epidemiology, health data science, or other
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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to develop novel computational methods for data integration and analysis Experience with machine learning approaches for biological data modeling and predictive analytics Good communication skills and