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at the intersection of obstetrics and imaging. The successful candidate will play a key role in recruiting and supporting pregnant participants, coordinating MRI scans, and inputting into data collection and analysis
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, epidemiology, health data science, or other closely related disciplines. They will bring internationally recognised expertise in statistics and methodological leadership in digital trials, demonstrated by a
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symbiosis of cutting-edge AI combined with human support. The successful candidate will partake in the development of personalised, context-sensitive Large Language Models (LLMs) for health coaching. By
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at meetings Experience in developing deep learning models Ability to manage own academic research and associated activities Desirable criteria Experience in dealing with large image data Experience
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for leading large-scale digital health research projects Strong understanding of healthcare data standards (e.g., FHIR, HL7) and regulatory requirements Leadership experience in managing multidisciplinary teams
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About us The Department of War Studies has a large and diverse faculty. We are a theoretically and methodologically diverse Department with expertise in areas including, but not limited to, conflict
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software platforms for electronic healthcare record research and direct care that includes Natural Language Processing / Large Language Model (LLM) capability, e.g. extracting structured information from
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following skills and experience: Essential criteria Demonstrable experience of managing a range of HR and employee relations issues within a large complex organisation Up to date knowledge of employment law
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optimisation of recruitment strategies in line with core King’s principles. The ideal candidate will have proven experience in market research and data analysis leadership positions, preferably in large and
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About us The Department of War Studies is a large and diverse department, with expertise in areas including, but not limited to, conflict resolution, contemporary and historical warfare, foreign