601 phd-sandwitch-in-architecture-and-built-environment Postdoctoral positions in United Kingdom
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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. The postholders will support ongoing research that aims to unravel the molecular architecture of the chloroplast’s beta-barrel protein assembly machinery using structural tools. One of the posts will be focusing
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Strategy is built on three pillars of research, education and wider student experience, but also on our keen sense of community and of inspiring others to achieve their potential. Our Purpose and Values We
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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Strategy is built on three pillars of research, education and wider student experience, but also on our keen sense of community and of inspiring others to achieve their potential. Our Purpose and Values We
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built on three pillars of research, education and wider student experience, but also on our keen sense of community and of inspiring others to achieve their potential. Our Purpose and Values We want our
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community. Our University Strategy is built on three pillars of research, education and wider student experience, but also on our keen sense of community and of inspiring others to achieve their potential
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
Change Institute, School of Geography and the Environment, University of Oxford. The post holder will have responsibility for developing research on the ecology, climate change and remote sensing
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research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but
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). Analysis will be performed on collaborative cloud computing environments using the extensive computing infrastructure developed by the Sanders Lab. You will be involved with all aspects of the data analysis