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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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computer science, mathematics, or related disciplines. The position will be fully funded, and the successful applicant will receive an annual stipend in line with current Research Councils UK rates for 3.5 years
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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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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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, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational biology. It contributes to more predictive and reproducible approaches in regenerative
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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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-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational
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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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of Physics, University of Oxford. The research will focus primarily on the development of 2D spin computing devices. All applications must be made through the central University of Oxford graduate admissions
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling