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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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Local Rules for Kolmogorov–Arnold Networks (KANs) School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Eleni Vasilaki Application Deadline: Applications accepted
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Explainable and Causal AI for Visual Analytics in Regenerative and Climate-Smart Agriculture (C3.5-COM-Cruz Villa-Uriol) School of Computer Science PhD Research Project Competition Funded Students
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Magnetic Nanodevices for Energy-Efficient Neuromorphic Computing (S3.5-CMB-Hayward) School of Chemical, Materials and Biological Engineering PhD Research Project Competition Funded Students
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project offers a unique opportunity to apply cutting-edge computational methods to a fundamental challenge in reproductive biology: understanding why human embryos fail. As delayed childbearing becomes more
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, including teeth grinding and normal everyday movements, ensuring the accuracy and reliability of the collected data. Developing, training, and validating state-of-the-art machine learning algorithms
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AI-Driven Facial Movement Analysis for Early Stroke Identification in Pre-Hospital Settings (S3.5-COM-CChen1) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr
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on semi-automated segmentation, classical registration techniques for motion correction, and iterative algorithms for parameter mapping – leading to computation times of many hours or even days per case
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the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at A PhD (or equivalent experience) in Engineering, Maths, Computer Science or another area
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have designed and introduced new control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the