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Mathematics, Applied Mechanics, or related disciplines (a minimum honours degree at UK first or upper second-class level) Experience in computational fluid dynamic/finite element modelling by using commercial
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-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep
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Application deadline: 01/12/2025 Research theme: Applied Mathematics, Continuum Mechanics, Nonlinear PDEs How to apply: https://uom.link/pgr-apply-2425 UK only due to funding restrictions. The
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‘Campus’, please select ‘Loughborough’ and select the ‘Programme’ as ‘Mechanical and Manufacturing Engineering’. Please quote the advertised reference number ‘FP-HZ-2025’ in your application under
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mechanics, and analytical and numerical methods to solve partial differential equations. Excellent oral and written communication skills. Prior experience in computational fluid dynamics or active matter will
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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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for black holes in our Galaxy that are in a close binary system with a normal star. Measuring the mass of these black holes informs on their formation mechanism, but traditional optical techniques are not
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assembly of foldamers often lack the mechanical properties required for their optimal performance as biomedical devices. Polymers have recently emerged as a promising class of materials for biomedical
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Antimicrobial resistance is one of the most serious threats to humans in the 21st century. Understanding antimicrobial resistance mechanisms is pivotal for combating superbugs. Pathogens use many
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, and control tissues across phylogenetically diverse Corydoradinae species. Test evolutionary mechanisms by quantifying the roles of gene duplication (including whole-genome duplication), positive