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Oxford Materials (Professors Robert House (PI), Saiful Islam, Peter Bruce), and UCL Chemical Engineering (Dr Rhod Jervis) brings together expertise in battery materials synthesis and device fabrication
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hold, or be close to completion of, a relevant PhD/DPhil in one of the following subjects: computational genomics, genetic or molecular epidemiology, medical statistics or statistical genetics. You must
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, using a global network of the world's largest and most advanced radio telescopes to search for signatures of technology. The project is undertaking a detailed census of hundreds of nearby stars, in
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Trials Unit to deliver innovative, high-quality studies, support discovery research, and contribute to advances in trial design and conduct. Alongside developing your own research programme, you will
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sufficient specialist knowledge in the discipline to work effectively within the research programme. You will have experience with applying conceptual reflection to empirical data. You will also have
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to a large-scale, interdisciplinary research programme. We are looking for someone with proven expertise in a fast-paced environment, who is committed to delivering high-quality research support and
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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for identification of discriminative spatial interactions of therapeutic response, and develop skills in computational biology and mathematical spatial analysis via independent study and training courses. It is
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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out research in cosmic microwave background physics or one or more of the following fields: cosmology, galaxy formation, numerical astrophysics, survey science tied to the up and coming large scale