50 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions at The University of Manchester
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that link between processes, microstructures and function. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or
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background. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. To apply, please
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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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) OR any upper-second class (2:1) honours degree and a Master’s degree at merit in a discipline directly relevant to the PhD (or international equivalent) including Materials Science, Geology, Earth sciences
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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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. 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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international equivalent) in a relevant science or engineering related discipline. Successful candidates will be required to undertake Baseline Personnel Security Standard checks and potentially undergo Security
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, at least a 2:1 UK honours degree and ideally hold a master’s level qualification at merit or distinction level, or international equivalent, in chemistry or a relevant discipline. Applicants with a strong
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(or international equivalent) in a relevant science or engineering related discipline. Essential skills: Interest in fluid mechanics and biological flows Strong quantitative and programming skills
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skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed evolution; process