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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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of barrier winds off East Greenland using new wintertime observations from a research cruise. Carry out numerical weather prediction simulations of barrier wind case studies with the observed sea-ice
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to constrain the depth of the magmatic pressurization source (5). Training The candidate will gain skills in seismic data processing, tomographic imaging, and numerical modelling. Travel opportunities include
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team player with strong scientific interests, self-motivation, combining an aptitude for practical research with numerical skills. You will have a degree in natural sciences, environmental sciences
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highly numerate individual with a strong interest in handling ocean data from diverse platforms to gain important new insights into this highly climatically-relevant part of the world’s ocean. We require
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structures. This highly interdisciplinary project combines mechanical engineering, materials science, and control systems, and will require both numerical simulation and experimental validation. The outcomes
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be located in Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to conduct direct numerical simulations of turbulent flows over rough surfaces under non-equilibrium
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good first degree in a numerate or health related discipline (at least 2:1) and preferably a research or health based Masters, to join our multi-disciplinary research team. tions. The PhD is funded
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of machine learning, numerical analysis, optimisation, or related fields. Funding notes: Funding is available through the School of Mathematics for a suitably strong candidate. The scholarship will cover
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. Communication of scientific findings through publications and conferences. Person Specification A highly motivated candidate with: A degree or equivalent in numerate, computational, or environmental subject areas