87 parallel-computing-numerical-methods-"https:" PhD positions at University of Nottingham
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, mathematics, or related scientific disciplines. Skills in numerical tools and programming are desirable (MATLAB, python, C++ etc). Any experience or capabilities in engineering design or manufacturing methods
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travel. Requirements: The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics, mathematics, or related scientific disciplines. Skills in numerical tools and
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: The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics, mathematics, or related scientific disciplines. Skills in numerical tools and programming are desirable (MATLAB
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Engineering, or a related discipline with substantial background in fluid mechanics. Essential skills: • Strong knowledge of numerical methods and fluid mechanics • Experience with scientific
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working hands-on with a wide range of individuals. Equally, they should be comfortable with statistical analysis of data. The research will focus on creating consumer-centred testing methods, exploring how
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working hands-on with a wide range of individuals. Equally, they should be comfortable with statistical analysis of data. The research will focus on creating consumer-centred testing methods, exploring how
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at Nottingham https://www.nottingham.ac.uk/coatings/ is an international reference for all Thermal Barrier Coating activities. This PhD programme, in partnership with Rolls-Royce, will address key challenges
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the UK Atomic Energy Authority (UKAEA). The student will be based at the University of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering
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Department: Faculty of Science AI Doctoral Training Centre Programme length: 42 months Closing date: 19 April 2026 The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from
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of Sport, Exercise, and Nutrition Education – kimberley.edwards@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: Athletes, coaches