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or above or international equivalent) and/or Master’s degree in a relevant subject (physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written
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Computer Science, Mathematics, or related areas. • Strong background in at least one of the following: formal methods, SMT solving, abstract interpretation, or model checking. • Experience with verification tools
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certificate time validity, can be found here. Specific Requirements 2:1 (or above) in Mathematics, Physics, Computer Sciences, Sport Science. A strong understanding of the science behind cycling performance
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-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational
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PhD in Quantum Error Correction and its Applications School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yingkai Ouyang, Prof Pieter Kok Application Deadline: 15
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, thermal and fluid-structure interaction performance of dynamic flexible cables and develop novel engineering solutions to enhance their operational reliability. The PhD student will combine mathematical
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The probabilistic method is a powerful tool which has been especially influential in the fields of combinatorics and computer science. In the context of combinatorics, this method was pioneered by
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background in applied mathematics, computational mathematics, computer science, physics, or engineering is suitable. Basic programming experience (e.g., C, C++, Julia, MATLAB, Python, or similar) is necessary
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Acceptable first degree - Physics, Mathematics, Natural Sciences, Engineering, Computer Sciences. The standard minimum entry requirement is 2:1. Mode of study: Full-time Start date: 1st October 2026 Funding
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8090F select Mechanical & Systems Engineering (full time)' as the