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date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. A 3.5-year PhD studentship in advanced NMR and data analysis is available in the University
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theory, robust and optimal control, and physics-informed modelling, this research aims to bridge the gap between data-driven learning and dependable real-world autonomy. Aim You will have the opportunity
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techniques for feedstock and high value products characterization. 1st or a 2:1 in a Chemical Engineering, Mechanical Engineering, Materials Engineering, Chemistry, Physics Please contact Dr Orla Williams
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Supervisor: Dr Ravindra Desai, University of Warwick Space weather is driven by eruptions of plasma from the Sun’s surface called coronal mass ejections. Upon arrival at Earth, these not only extend
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computer simulations by developing fundamentally innovative and advanced protection strategies. To enhance the reliability and safety of low-voltage networks with a high penetration of power-electronic
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of Dr Zhong-Nan Wang at UoB. The research of the group is focused on developing high-fidelity CFD and data-driven approaches for aerodynamics and aeroacoustics. The PhD project is expected to start in
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support population-level prevention strategies. Further information: Applicants should have either a minimum 2.1 undergraduate degree in a relevant area (public health, epidemiology, economics, statistics
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reusable plaque–flow atlas. Key objectives include to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric
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, Chemistry. Supervisors: Prof. Ton Peijs, Dr. Leonid Pasthukov Funding information: Supporting Organisation: Dutch Polymer Institute (DPI) Funding Comment The studentship will cover tuition fees and provide a
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: Off-Site Construction for Resilient Healthcare Infrastructure and Agile Healthcare Supply Chain Performance Director of Studies: Prof Esra Kurul Supervisors: Dr Roshani Palliyaguru, Dr Kalpani