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About you This role sits within King’s Digital, an innovative and collaborative team driving the development of online education at King’s College London. In partnership with academics, professional services, and external collaborators, King’s Digital designs, develops, and delivers a diverse...
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initiatives supporting young people to progress into employment. The role has a strong focus on quantitative evaluation methods. The ideal candidate will have formal training in quantitative research methods
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have opportunities to get involved in data analysis and develop their research interests within the projects. Training in research methods will be provided, and the post-holder will develop skills in
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interests within the projects. Training in research methods will be provided, and the post-holder will develop skills in using gold-standard diagnostic and clinical ratings, which will be useful for future
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analysing the intersection of the financial and fertility sectors as a key site of reproductive politics. Using qualitative methods, this project consists of three work streams analysing case studies that may
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subject to funding. About you We are asking candidates to demonstrate their experience on the following criteria: PhD, or in the final stages of obtaining a PhD, in a relevant area of social science (e.g
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to teaching and provide PhD and MSc supervision. This post will be full-time in the Cicely Saunders Institute and will be a fixed term contract until 30/11/29 in the first instance. We particularly seek
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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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maintain the integrity of their information. The post holder will work closely with Prof Elena Simperl and a team of 15+ researchers and PhD students in the area of human-centric AI. The role covers research
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Hopkins University (USA). About the role The PDRA will advance next-generation mapping methods for equitable and intelligent epidemic surveillance, contributing to the development of scalable GeoAI systems