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the development of this technology. In particular, the nonlinear and high-dimensional nature of the plasma dynamics mean that the desired reference state is challenging to compute and the control gains have to
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Competition Funded UK Students Dr Marco Fazzi
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or equivalent. Due to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested in using your
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Neuro-Symbolic AI for Trustworthy Clinical-Decision Making: Bridging Linguistic Fluency and Logical Reasoning in Large Language Models (S3.5-COM- Valentino) School of Computer Science PhD Research
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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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Photonics for the scale up of quantum sensors (S3.5-ELE-Smith) School of Electrical and Electronic Engineering PhD Research Project Competition Funded Students Worldwide Dr Joe Smith, Dr Kristian
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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys) School of Mechanical, Aerospace and Civil Engineering PhD Research
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Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Fazzi Application Deadline: Applications
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Sustainable Fertilisers for Food Supply Chain Resilience (C3.5-CMB-Styring) School of Chemical, Materials and Biological Engineering PhD Research Project Competition Funded Students Worldwide Prof
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Active Manufacturing of High-Value thin films aided by Novel Film Metrology Approaches (S3.5-CMB-Howse) School of Chemical, Materials and Biological Engineering PhD Research Project Competition