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PhD Studentships in Statistics, Data Science and Machine Learning Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Overview The
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Supervisors: Dr Negar Gilani and Professor Richard Hague The Centre for Additive Manufacturing (CfAM) Research Group within the Faculty of Engineering at the University of Nottingham, recognised as
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adaptation for industrial simulation. The skills developed through this work will align strongly with careers in scientific computing, engineering simulation and applied machine learning for design and
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work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
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This PhD “Novel use of AI in Marine Monitoring” will focus on marine monitoring in NEOM Nature Reserve (NNR) within northern Saudi Arabia. The PhD will develop techniques for automation in surveying marine biodiversity, with an overall aim of decreasing the time between surveying and meaningful...
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supervised by: Dr Joschka Roffe, School of Informatics, University of Edinburgh Dr Stergios Koutsioumpas, School of Informatics, University of Edinburgh Dr Vivek Chidambaram, National Quantum Computing Centre
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mathematics, physics, or electronics and telecommunications engineering. Experience in any of the following areas is advantageous: computational electromagnetics, partial differential equations, boundary
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Funded PhD studentship in AI-assisted materials discovery at the UK National Epitaxy Facility School of Electrical and Electronic Engineering PhD Research Project Competition Funded UK Students
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28 Nov 2025 Job Information Organisation/Company Queen's University Belfast Department Centre for Secure Information Technologies Research Field Computer science » Cybernetics Engineering » Computer
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-grade undergraduate degree (first class or upper second) in Computer Science or MSc in related field. Skills Knowledge of programming, Computer Science, Computer Vision, Machine Learning, or related