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for knowledge workers to better organise knowledge bases and maintain the integrity of their information. The post holder will work closely with Prof Elena Simperl and a team of 15+ researchers and PhD
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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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scientist who has obtained a PhD and has already accumulated some post-doctoral experience in the field of type 2 immunity as applied to asthma and related upper and lower airway conditions. The applicant
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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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-centred mental health care. The postholder will play a central role in collecting and analysing large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk
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large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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the MBBS, MSc, and PGCert courses, ensuring alignment with the Faculty’s education strategy; supervising and mentoring PhD students and early-career researchers, promoting a culture of innovation, excellence
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the MBBS, MSc, and PGCert courses, ensuring alignment with the Faculty’s education strategy; supervising and mentoring PhD students and early-career researchers, promoting a culture of innovation, excellence
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Council (MRC), including pilot/feasibility to definitive trials and fellowships that typically involve trials or epidemiology using big data. There are excellent opportunities to develop, lead and apply
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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