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Scanning Probe Microscopy 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
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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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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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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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of cutting-edge machine learning and artificial intelligence research applied to health data science. The successful applicant will work with Dr. Andreas Karwath within the Centre for Health Data Science on
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methods with complementary optical microscopy data and build high resolution 3d maps of proteins in tissues. They will draw on a range of technical approaches including artificial intelligence, computer
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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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climate change, health policy, or related fields The Research Fellow will work with Professor Niheer Dasandi, the Co-Chair and Working Group lead, and will be based in the Centre for Artificial Intelligence