597 computational-physics-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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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
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programmes on 13th January 2026 12:00-13:30 (GMT). Prospective students will obtain information about our PhD programme and the application process, funding, our world-leading research, living in Lancaster
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Learning heat: Physics-Informed Fourier Neural Operators for High-Fidelity Thermal NDE Modern non-destructive evaluation (NDE) increasingly relies on AI models that can reason with physics, scale
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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided Overview Edge artificial intelligence (Edge AI) enables deploying AI algorithms and models directly on edge devices. However, AI...
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theoretical work. As part of the program, you will complete a six-month placement at the Jungbunzlauer site in Germany, where you will: Collaborate with experienced industrial scientists and process engineers
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considered for this PhD, please follow the instructions here: https://www.centre-ub.org/studentships/application-process/ Fully funded 4-year PhD studentshipat the University of Birmingham. Scholarship covers
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registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8839F Select ‘PhD Physics (FT
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The School of Computer Science at the University of Nottingham is pleased to invite applications for a fully funded PhD studentship in deployable, efficient, and trustworthy computer vision. This is
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are listed here: https://www.open.ac.uk/science/physical-science/phd-students/current-phd-studentships These studentships are funded for 3 years and 3 months, with the possibility of an additional 3-month
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problem is global in scope, affecting both developed and developing nations, and demands innovative, scalable solutions. This PhD project aims to revolutionize corrosion prediction by integrating physics