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3 years, full-time, English-taught, remote (flexible) About the programme The PhD in Economic Policy & Public Administration is a three-year, full-time, English-taught doctoral programme based
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This 3.5-year PhD project is fully funded, and home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and
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mapping technologies. This PhD would particularly suit candidates with backgrounds in: Artificial intelligence or machine learning Computer science Data science or computational modelling Engineering
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Number of awards: 1 Award information: Fully funded PhD studentship covering Home tuition fees and a tax-free stipend. Available to Home fee-status applicants only due to funding structure
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. There is also a need for accounting noise in Deep Learning models and quantifying uncertainty in real-world applications. This PhD studentship (scholarship) leverages large-scale Earth Observation data
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a research grant to support project costs. What you will gain A high-quality PhD project embedded in a wider programme with strong academic and industry engagement - projects and training are co
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’ using programme code:8050F Research Area: Computing Science select ‘PhD Computer Science(Full Time) – Computing Science) as programme of study (please note that although you will be registered
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: Search for the ‘Course Title’ using programme code:8050F Research Area: Computing Science Select ‘PhD Computer Science(Full Time) – Computing Science) as programme of study (please note that although you
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new