607 professor-computer-"https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in United Kingdom
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We are seeking a highly motivated candidate to undertake a PhD program titled "3D Temperature Field Reconstruction from Local Temperature Monitoring in Directed Energy Deposition." This exciting
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to cover living costs; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. Learn more about the programme, available projects, and the application
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). All applicants must meet UKRI terms and conditions for funding. See: https://www.ukri.org/funding/information-for-award-holders/grant-terms-and-conditions/ How To Apply You must apply through
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: Semiconductor processing or microfabrication Computational modelling (COMSOL, MATLAB, or similar) Experience with optical/THz systems is beneficial but not essential Curiosity, problem‑solving ability, and
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Application deadline: 30/04/2026 Research theme: Nuclear Engineering How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply
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PhD studentship in Computer Science - Dynamic Validation of AI Systems in Digital Twins: A Real-Time Safety Framework for Critical Infrastructure Resilience Award Summary 100% fees covered, and a
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employed to achieve an appropriate trade-off between reliability, performance, computational efficiency, and adaptability under uncertainty. The candidate will be affiliated with CRADLE (Center for Robotic
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of disasters? Do you have a PhD research proposal related to this topic, or can you develop one this month? If the answer is yes to these questions, then this PhD funding opportunity for the programme of
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(23:59 GMT), 26th March 2026. On the ‘Choosing a programme’ page, please select Basic and Clinical Neuroscience Research PhD Full-time More information on the department and the programme is available
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before the deadline. Computational haemodynamic modelling provides a powerful framework for linking blood flow dynamics with cardiovascular disease, using in silico approaches to systematically study flow