599 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" PhD positions in United Kingdom
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4D imaging, their high data rates limit their use in real-time applications. As a result, the available benchmark data for developing numerical models to predict transient multiphase flows is limited
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wide range of social science methods. Key commercial sectors include (but are not limited to) data centres and high-tech industries, as well as food and beverage production. This project is a
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/Programme: Aeronautics Research (PhD) Research Topic: Please use reference number AE0085 Research Supervisors: Professor Matthew Santer, Dr. Paul Bruce Research Group: Aero For further information
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progression Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes). Further Information We are hoping that the successful candidate will start their contract
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- See advert for details Deadline: 13 April 2026 Supervisors: Dr Zhenhui Yuan and Professor Joseph Hardwicke Predictive Network Intelligence for Medical Telerobotics Research area and project description
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candidate with an undergraduate degree (2:1 minimum) in chemistry, chemical engineering or materials science. Supervisors: Dr Sophie Pain, Dr Rob Sommerville, Dr Elizabeth (Lizzie) Driscoll. References: 1
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technologies, AI and big data. Crop and soil health - resistance and integrated pest management (including AI-driven prediction) and improving the root-soil interface (carbon, water and nutrient availability
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Primary supervisor - Dr Gareth Matthews Background: Atrial fibrillation (AF) is the most common sustained arrhythmia, affecting around 2 to 3% of the population and costing the NHS more than £2.2
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for 3.5 years. Lead Supervisor’s full name & email address Dr Richard Mandle: R.Mandle@leeds.ac.uk Co-Supervisor’s full name and email address Dr Thomas Raistrick: t.j.raistrick@leeds.ac.uk Dr Mamatha
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2026 Award Duration 4 Years Application Closing Date 18th February 2026 Sponsor EPSRC Supervisors Dr Jonathan McDonough ; Dr Greg Mutch Eligibility Criteria We are adopting a contextual admissions