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-tools.github.io/ ) in the School of Informatics at the University of Edinburgh, on projects in the research areas of Probabilistic Machine Learning, Neuro-Symbolic AI and Deep Generative Models. The candidate will
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of Edinburgh –a powerhouse in artificial intelligence, engineering and medicine; Contribute to a national center of excellence where deep learning and AI meets real healthcare data directly addressing industry
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Biomolecular Control Group at the University of Edinburgh. The group develops computational methods for the design of molecular systems for biotechnology and future therapy. The post is part of the CYBER
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The School of Informatics, University of Edinburgh invites applications for a postdoc to undertake novel research at the intersection of computer vision and machine learning. The candidate will be
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an ongoing collaboration with researchers from UCL and the University of Edinburgh. For additional information, please contact Dr Xi Wang at [email protected]. When reaching out, kindly use the subject
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University of Edinburgh. For additional information, please contact Dr Xi Wang at [email protected]. When reaching out, kindly use the subject line '[PhD-Sim4Conv] - [Your Name] - [Your Current
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reliable deep learning architectures suitable for real time and on-chip spike sorting. To develop an on-chip processor integrable into the sensing module for real time behavioural decoding of different
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the various physiological roles for this unusual feature. This work will be carried out in collaboration with Dr Catherine Kidner, at the University of Edinburgh and the Royal Botanical Gardens Edinburgh