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(e.g., wind-turbine blades, rails, laminates). Building on our recent “FNO-Kernel” work—embedding a physics-based convolutional kernel inside the Fourier operator—the PhD will deliver operator-learning
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the Natural Environment Research Council (NERC). Funding covers: annual stipend, tuition fees (at home-fee level), Research Training Support Grant. Academic requirements: at least a 2:1 at UK BSc level or a
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climate models, including the UK Earth System Model (UKESM), resulting in critical gaps in both seasonal forecasts and long-term climate projections. This PhD will develop a new parameterisation of snow
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academic qualifications. An example can be found here . Applicants should hold at minimum a 2:1 Honours degree (or international equivalent) in a discipline relevant to the proposed PhD project, such as
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early risk identification. This PhD project aims to design and develop personalised 3D-printed insoles with enhanced offloading performance and integrated sensing capability. The work will explore novel
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restoration success and flood resilience elsewhere. Current models treat sites in isolation, lacking tools to predict these feedbacks. This three-year PhD will develop and apply cutting-edge numerical modelling
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Deadline: All year round Research Group: Coatings and Ceramics How to apply: uom.link/pgr-apply UK only This 3.5-year PhD studentship is open to Home (UK) applicants and EU students with settled
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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Department: School of Computer Science Details of Studentship: Fully Funded PhD Studentships Applications are invited from Home and International students for a number of fully-funded PhD
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management and coordination within a multidisciplinary environment Scientific writing and effective communication within a multidisciplinary environment Networking, career development, and professional self