32 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at The University of Manchester
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clothing. While inclusivity has become a recurring theme in fashion discourse, there remains a critical gap in both academic research and industrial application when it comes to designing, engineering, and
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associated facilities. Our group webpage is here https://gibsongroupresearch.com where additional information can be found. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a
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with a background in chemical engineering, physics, soft matter science, computational chemistry, and/or related disciplines. Early applications are encouraged, as the position may be filled before
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experimental and computational, to understand and predict microtexture evolution during processing. The balance between experimental and computational research will depend on the profile of the successful
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. This interdisciplinary PhD is ideal for candidates with a background in chemical engineering, physics, soft matter science, computational chemistry, and/or related disciplines. Early applications are encouraged, as the
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the deadline. The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this
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engineering related discipline. To apply, please contact the main supervisor, Prof Tim Stallard - Tim.Stallard@manchester.ac.uk . Please include details of your current level of study, academic background and
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Application deadline: 31/01/2026 Research theme: Chemical Engineering This 4 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply
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analytical electron microscopy will be will be employed in the project. This programme provides a unique opportunity to combine pioneering academic research with industrial experience. In
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farms at relatively close proximity can be relevant when considering their annual energy production. This project will examine the uncertainty of various types of numerical models, from fast-computing