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qualitative research using participatory methods and semi-structured interviews Analyse data, contribute to co-design workshops, write reports, and contribute to academic papers. Where required, public
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 15 days ago
service capability platform; and providing advice to clients in the application of CPRD data in clinical research. The successful candidate will be educated to PhD level or equivalent experience in
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/ Associate in African heritage and geospatial data science. This is a fixed term appointment for 24 months. The post holder will work as part of the Mapping Africa's Endangered Archaeological Sites and
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individually, make a real difference. The role We are looking for a part-time research assistant (1 day a week for a year) to work with us on a project that aims to develop a set of resources that support
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mental health omics data more harmonized, accessible, understandable, and useful to researchers, clinicians, industry, and people with lived experience. You will work closely with a multidisciplinary team
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. The position is available up until the end of 2025. Where a PhD has yet to be awarded the appointment will initially be made at Research Assistant level (Grade 5) and amended to Research Associate (Grade 7) upon
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. You will also help evaluate AI tools in real-world healthcare settings, supervise PhD students, and contribute to shaping the future direction of AI in the Unit. This post is full time and fixed term
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future generations of research and development professionals; data specialists; technology experts; inventors; and scientists for industry and society. The Atomic Scale Physics group at the Department
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during the application period. For more information on the position, please contact principal investigators; Prof. Hamid Reza Godini and Prof. Riikka Puurunen . For more information on the process, please
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Applications are invited for the position of Research Associate in Community Engagement at the Centre for Cancer Genetic Epidemiology, working closely with Professor Nora Pashayan. The successful