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, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics, Chemistry, or Engineering
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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, Chemistry, or Engineering, you will be an enthusiastic and self-driven researcher able to plan and deliver high-quality scientific work. You will hold (or be close to obtaining) a PhD/DPhil in a relevant
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, fixed-term contract until 30th Nov 2026 in the first instance. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD
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engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in stem cell biology, neuroscience or a related field. Proficiency in human iPSC culture
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learning informed by the results of biophysical simulations in the prediction and analysis of cell organisation in tumoroids. Cells are active and can both manipulate and be manipulated by their environment
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About us King’s College London is one of the UK’s leading research institutions, committed to excellence in science, engineering, and healthcare innovation. This position is based within
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Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in science and technology studies