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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
to progressing the diversity and inclusion agenda, for example; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members
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(Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category). Acceptable first degree: environmental, marine or mathematical sciences (or similar) Mode of Study Full-time Start Date 1 October 2026
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). Acceptable first degree: Natural sciences, Environmental sciences, Physics, Chemistry, Mathematics or a similar numerical subject. Mode of Study: Full-time Start Date: 1 October 2026 Funding Information ARIES
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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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solve complex problems from theory to decision making, combining several disciplines (e.g. economics and applied sciences). A candidate with strong statistical/mathematical knowledge and experience
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equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category). Acceptable first degree: Mathematics Statistics Physics Economics
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mathematics, programming, and machine learning. *Interest or experience in wireless communications, signal processing, or 6G technologies. To apply, please contact the main supervisor; Dr. Zahra Mobini
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the School and welcome applicants from all backgrounds. The School holds an Athena SWAN Bronze Award, which recognises its work in promoting women’s careers in science, technology, engineering, mathematics
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based modelling, the application of mathematical concepts from UQ/ML to practical problems, and an understanding of scripting/programming. Individuals with an applied mathematics background who have an
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) in mathematics, computer science or a related discipline. This research is interdisciplinary. The candidate must have strong expertise in at least one of the following areas (1) or (2), and a clear