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imaging platforms and computer programming. The successful applicant will have an MSc or postgraduate degree in a relevant topic, relevant experience in AI-based imaging platforms and computer programming
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decision-making, and patient outcomes. The post-holder will work with multidisciplinary teams at LSHTM, HKU, and partner institutions to drive the construction and training processes of Large Language Models
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The post-holder will work in the recently established
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have a post-graduate degree in epidemiology, environmental science or a related discipline, preferably a doctoral degree. Experience in conducting quantitative research is essential and experience
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. The post holder will have a postgraduate degree, ideally a doctoral degree in social science or related field, demonstrated research experience in social science research methods, publications and the
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Global Mental Health joining a team working at the interface between epidemiology, intervention development and testing, and intervention science in low resource settings. The post will be based in
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programme. The post-holder will have a postgraduate degree, ideally a doctoral degree, in public health, sociology, anthropology, health psychology or another relevant discipline. They will have experience
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The post-holder will work in the recently established
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-reported experience measure (PREM) for maternity services in England. The post holder will be supervised by a senior psychometrician (Dr Sarah Smith). The principal investigators are Associate Professors
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for observational research. The successful candidate will be part of Discipline 1 (Surveillance, Epidemiology, Electronic Health Records Research, Big Data). The post-holder will have a postgraduate degree, ideally a