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data and build high resolution 3d maps of proteins in tissues. They will draw on a range of technical approaches including artificial intelligence, computer vision, image processing, and data reduction
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Humanities, under the aegis of the Faculty of Philosophy. The Institute will build upon the University’s world-class capabilities in the humanities to lead the study of the ethical implications of artificial
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Humanities, under the aegis of the Faculty of Philosophy. The Institute will build upon the University’s world-class capabilities in the humanities to lead the study of the ethical implications of artificial
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density functional theory (DFT) methods integrated with data-driven artificial intelligence techniques. Research may encompass the development and application of machine learning force fields, high
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for Life Sciences and Medicine powered by Artificial Intelligence (SPM4.0)” The objective of the SPM4.0 Doctoral Network is to train a new generation of researchers in the science and technology of
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for the first time. This will allow us to work out the best vital-sign-based early warning score. It will also allow us to build an electronic maternal early warning score, harnessing the power of artificial
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access to the recently announced Responsible AI UK (RAI UK; https://www.rai.ac.uk/ ) ecosystem that we are leading, centred around the development of responsible artificial intelligence, which has been
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Project. With the recent advent of digital technologies (e.g., artificial intelligence, blockchain, and big data analytics), digitalization has emerged as a critical technical factor that might have a