583 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" PhD positions in United Kingdom
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covers tuition fees, a stipend, and RTSG (research training and support grant). Alongside the scientific PhD training, the programme will provide a wide range of training opportunities. DTP Standard
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Deadline: 31 August 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing”. This position
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global change, damaging critical infrastructure resilience. This project is part of the prestigious Loughborough University Vice Chancellor’s PhD Cluster – RAINDROP (Resilient eArthwork INfrastructure
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covers tuition fees, a stipend, and RTSG (research training and support grant). Alongside the scientific PhD training, the programme will provide a wide range of training opportunities. DTP Standard
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How many positions: 1 Open to Uk students This 3.5 year PhD is fully funded for home students; the successful candidate will receive a tax-free stipend set at UKRI rates (£20,780 for 2025/26) and
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engineering/science, remote sensing, computer science). A relevant master’s degree and/or employment experience will be an advantage. English language requirements: Applicants must meet the minimum English language
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assistant (prae-doctoral position) in this 4-year role, you will be part of the Quantum Foundations and Quantum Information Theory team led by Professor Časlav Brukner. Your work will focus on research
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(prae-doctoral position) in this 4-year role, you will be part of the Quantum Foundations and Quantum Information Theory team led by Professor Časlav Brukner. Your work will focus on research
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Exciting Fully Funded PhD: Unlock the Future of Turbo Gas Seal Technology with John Crane Ltd! School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded UK
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but not essential. A strong background in materials science and/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition