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A fully funded 3.5-year PhD studentship (UK home fees only) is available in the group of Dr Jamie Lewis at the University of Birmingham in the area of synthetic supramolecular chemistry. The project will build on ongoing work from the group in the design, synthesis and study of functional...
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in numerate, computational, or environmental subject areas. Numerate Subject Areas include e.g.: Mathematics, Statistics, Physics, Economics, Finance, Engineering (Mechanical, Electrical, Civil, etc
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to decentralized systems, AI, cyber security, cryptography, or mathematics. Outstanding candidates with a Bachelor’s degree from a four-year undergraduate program are also encouraged to apply. Paper publication is
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a relevant subject (physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written) A strong background in computer science, artificial
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expected to receive a first or upper-second class honours degree in anEngineering, Computer Science, Design, Mathematics, Physics or a similar discipline. A Postgraduate Masters degree is not required but
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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