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Cardiomyocyte Dynamic Network Analysis with Machine Learning (Ecidna-ML) This project represents a new approach to map dynamical interactions in networks of human cardiac cells. Network dyssynchronisation is a
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programme of study: PhD in Materials Engineering Mode of study: Full-time Project description: UKOPA (the United Kingdom Onshore Pipeline Operators’ Association) members operate a network of more than 27,000
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knowledge and expertise of international partners and networks. The All-Wales Academy for Innovation in Health and Social Care welcomes applications for postgraduate research study from individuals working
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of delivering excellence in research, training, and student supervision, and with extended international network of research collaborations, based at the Particle Physics and Cosmology Theory group at Swansea
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neural networks and neuromorphic computing [1]. Recently, we have developed high quality organic memristors that emulate the synaptic behaviour of the brain using squaraine molecules, first using self
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that integrates texts, figures and tables from scientific publications and other credible sources; Develop and validate deep neural network models that predict scientific trends and their impacts; Deliver