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makes this phenomenon compelling is not only its beauty in nature, but its potential to reshape the way we design novel artificial systems, like materials that can adapt to their environment or systems
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pathways, whilst their omission can introduce significant systematic biases in parameter estimation, detection pipelines, and tests of fundamental physics. In this PhD project, you will develop a
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We provide a fully funded 4-year PhD studentship at the University of Birmingham. It covers tuition fees and stipend at UKRI rates (for 25/26 this will be £20,780, paid monthly) for home students
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The PhD studentship will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a
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-generation intelligent hardware. As embedded AI hardware continues to redefine intelligent computing, this PhD offers direct access to cutting-edge silicon design workflows through Cranfield’s EUROPRACTICE
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will develop autonomous on-board guidance algorithms for space missions using open-source numerical solvers for convex optimisation developed at the University of Oxford. The focus will be on designing
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enable by two-photon polymerisation 3D printing rationalizes the use of the powerful topological optimisation. The PhD candidate should have completed (or about to complete) their undergraduate degree in
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potential later start dates.) Supervisors: Professor Gwyneth Davies, Professor Rich Fry (Swansea University) and Professor Jenni Quint (Imperial College, London) Aligned programme of study: PhD in Population
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: RRH-MIBTP-2026 Apply here for a Midlands Integrative Biosciences Training Partnership (MIBTP) PhD at Harper Adams University. Please see https://www.harper-adams.ac.uk/research/598/possible-funded-mibtp
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One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh