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duration: 3.5 years Sponsor: School of Computing Supervisors: Dr Mujeeb Ahmed Eligibility criteria You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a relevant
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Despite significant advances in numerical techniques and computing hardware, the high computational cost of large-scale 3D computational fluid dynamics (CFD) modelling remains a major challenge. A
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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are excited to work across disciplines and contribute to cutting-edge research at the interface of biology, chemistry, imaging, computation, and AI. Molecular Perturbations: Chemistry Engineering Biology
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only of storing information, but also of manipulating, organising, and retrieving it through molecular data structures analogous to those used in computer science. Building on our pioneering experimental
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, a strong degree in computer science, cybersecurity, mathematics, or a related subject. Experience with cryptography, machine learning, or systems implementation is valuable, as are solid programming
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foundation models and world models enable robots that understand instructions, interpret scenes and generate behaviours. However, most systems require huge datasets, extensive teleoperation, expensive compute
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to evaluate and advance machine learning algorithms for one of the following application areas: “Characterising forests variations in relation to distance from pre-Columbian earthworks in the Amazon forest
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will develop nanoscale devices which use magnons (collective excitations in magnetic order) as information carriers for ultra-efficient, compact, brain-inspired computing. This project is positioned
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of Warwick, and Prof Emma Kendrick at the University of Birmingham. The project will be affiliated with the Faraday Institution FAST project and will combine advanced computational modelling with experimental