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networks to reduce the impact of network failures or epidemics; prevent viral epidemics in human population. Epidemic processes widely apply to biological and computer network viruses, to cascading failures
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to computational cardiology. In this project, you will combine advanced physics-based models of the human heart and vasculature with the latest breakthroughs in machine learning to develop scalable and robust
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. The successful applicants will develop automated techniques to analyse multi-sensor data (video, acceleration, audio, etc) of human social behavior. Successful candidates will work in a team of 6 on
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Our main goal is to unlock ultrasound imaging inside organs that are still inaccessible to existing clinical ultrasound scanners, in particular bones and the adult human brain. Our ambition is to
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you to apply. Your application will receive fair consideration. Challenge. Change. Impact! From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to
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the content we engage with, the products we purchase, and our social interactions. These systems, driven by machine learning, support a wide range of human decision-making processes across e-commerce, social
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machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses
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combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge
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machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses
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structures. Wind turbine blades currently face the challenge of recyclability as they are typically made from conventional glass fibre-reinforced epoxy composites. The current end-of-life treatment of wind