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EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students
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the scalability and robustness of AI in complex environments which is a major step towards the digital transformation of the manufacturing industry. Motivation Automation is key to meeting the growing demand
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, resilience, and/or reliability assessment and their application to power and energy systems The ability to present complex information effectively to a range of audiences with clarity Experience of working as
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early 2030s. One prominent HTGR configuration is the pebble-bed reactor, in which spherical fuel elements (pebbles) are densely packed within the core, creating a complex and heterogeneous thermal-fluid
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to rural and coastal health research. With £10.9m of funding from Research England, this innovative centre is striving to understand the intersection between place-based deprivation and poorer outcomes
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Salary: Research Assistant: £32,546 to £34,132 per annum Research Associate:£33,882 to £42,882 per annum Newcastle University is a great place to work, with excellent benefits . We have a generous
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This 3.5 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will received an annual tax free stipend set at
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categories for a better capability of managing the uncertainty related to system complexity and data availability to achieve more accurate RUL estimations The student will have the opportunity to work with
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to complex challenges in this field. Essential and Desirable Criteria Solid foundation in computing principles, particularly computer graphics and machine learning. A 1st or 2.1 undergraduate (BEng, BSc, MEng
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, high-speed vibration monitoring in complex assemblies, and improved measurement capabilities in two-phase flow systems such as cryogenic fuels and hydrogen/ammonia-based configurations. This project