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data acquisition. • Computational techniques, including machine learning and statistical inference. • Collaborative research at the interface of mathematics, biology, and physics. Why us? The
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, combining the radio frequency (RF) circuitry of a transceiver with the digital processing needed for machine learning, all in a single microchip. Next generation wireless devices will not only send and
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potential competitive edge. In this PhD the student will learn advanced photonic design, nanofabrication, and heterointegration techniques. The project involves creating nanostructured 3R-MoS₂ and integrating
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, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded Students
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Multi-modal Understanding of Human Heart (S3.5-COM-CChen2) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Chen Chen, Prof Andy Swift Application Deadline
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manufacturing? Benefits Earn While You Learn: Get a fully funded four-year postgraduate research degree (EngD or PhD) with an annual tax-free stipend of £28,000 (that’s equivalent to a £34,000 salary!). We’ve got
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this information reliably can unlock breakthroughs in areas such as healthcare, physiotherapy, robotics, and human-computer interaction. This PhD project will explore new ways of understanding human motion by
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Award at the University of Sheffield. Imagine being able to check that a powerful quantum computer has performed a calculation correctly without having to repeat the computation or learn the private data
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as the Insigneo Institute theme co-director for Healthcare Data/AI and the N8 Centre of Excellence in Computationally Intensive Research theme lead for Machine Learning. About the School/Research Group