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Field
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discipline such as engineering, physics, mathematics, acoustics, or instrumentation. Experience with computational modelling, test rig development, or experimental methods is desirable but not essential. Most
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valuable experience working in an interdisciplinary environment. Requirements: First-class or 2.1 honors degree (or international equivalent) in engineering, computer science, applied mathematics, or a
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/engineering, applied physics/mathematics, or related fields. Prior experience in computer vision would be beneficial but not essential; determination, curiosity, and a willingness to learn are key attributes we
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Entry requirements Applicants should have a first or second-class UK honours degree or equivalent in a relevant discipline. This project would suit a student with engineering, physics, mathematics
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deadline passes. You will need to meet the minimum entry requirements for our PhD programme . The candidate should have a background in physics and mathematics and be good in computing. The work combines
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through Model-Based Systems Engineering (MBSE) and multi-fidelity simulations. Use experimental and computational approaches to improve fuel system confidence and reliability. Support the aviation
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and multidisciplinary approach to such questions, bringing together knowledge in fields as diverse as, e.g., mathematical logic, the theory of computation, software engineering, artificial intelligence
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Requirements Minimum 2.1 honours undergraduate degree (or international equivalent) in computer science, or a related discipline such as physics, mathematics, or engineering. If English is not your first
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for PhD study are a 2.1 honours Bachelor degree, or equivalent, or a good performance in a Master's level course in Physics, Mathematics, Oceanography, Meteorology, Climate Sciences, Earth/Environmental
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with engineering, physics, mathematics, acoustics, fluids, electronics or instrumentation background. Prior experience in computational modelling is beneficial, but not mandatory. Similarly, experience