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Fully-funded 4-year PhD Studentship (UK Home fee status): Numerical simulation of boiling flows for high heat flux fusion components Aim and Objectives This project aims to develop a high-fidelity
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summary Join an international team developing scalable algorithms to solve numerical linear algebra challenges on supercomputers. Modern high-performance computing increasingly relies on hardware
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Research Studentship in Numerical Optimisation and Control 3.5-year D.Phil. studentship Project: Embedded Optimisation for Autonomous Spacecraft Control Supervisors: Prof Paul Goulart The project
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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NASA, Airbus, and Rolls-Royce – to develop cutting-edge, data-enhanced numerical methods that will transform how future aircraft are conceived and certified. You will work within the PinhoLab (led by
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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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on solitary waves and on analysing their stability. We will also extend the study to related configurations, such as ferrofluid jets under vorticity and swirl. The mathematical and numerical techniques
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. Although the PhD work will be primarily theoretical and numerical, you will collaborate closely with experimental groups capable of realising these configurations in the laboratory. By joining Dr Proment’s
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interactions involving tides, topography, and sea-ice will be of particular interest. The student will first exploit numerical simulations carried out at Scripps (US) and NOC/University of Reading (UK
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numerous and varied, depending on your background and interests. We envision a first thesis chapter which builds a comparative database of food transit times across primates of various sizes with different