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and along the Antarctic Peninsula. Research methodology: In this varied project you will be trained in and carry out carbonate chemistry analyses at the University of East Anglia, while extending
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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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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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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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training and networking opportunities. Person Specification: We seek an enthusiastic team player with strong interest in the carbon cycle and climate change, self-motivation and numerical skills. Entry
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strong numerate background. Prior experience of mathematical or statistical programming is highly desirable. Informal enquiries concerning the project are welcomed by the primary supervisor. Entry
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overall, 6 in each category). Acceptable first degree: Computer Science/Physics/Maths or other numerate discipline. Mode of Study Full-time Start Date 1 October 2026 Funding Information ARIES studentships
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strong scientific interests and self-motivation. They will have a degree in physics, mathematics, oceanography, meteorology, or a related science with good computing and numerical skills. Entry
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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
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working at the Sainsbury Laboratory in Norwich, where he is also a professor at the University of East Anglia. David Baulcombe is a member of the Royal Society, and has won several other international