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for enrolment for the PhD degree at Imperial College London. You will have a 2:1 honours degree or above in chemistry, chemical and mechanical engineering or a related subject, and an enquiring and rigorous
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, go to: https://www.imperial.ac.uk/mechanical-engineering/research/ For information on how to apply, go to: http://www.imperial.ac.uk/mechanical-engineering/study/phd/how-to-apply/ For further details
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conferences. You will have access to engaging professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career
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webpages: www.imperial.ac.uk/study/apply/postgraduate-doctoral/application-process/ . When applying, please use the following details: Search course/Programme: Aeronautics Research (PhD) Research Topic
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, reproducibility and clinical impact of SMARTs. Existing resources tend to present methods at a high level and are not tailored to the practical needs of applied trial statisticians. This aim of this PhD will be
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to engaging professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career Researcher Institute . Supervisors: You
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professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career Researcher Institute .Additionally, you will be
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publication record. Ideal candidates will hold a 1st class undergraduate degree or a Distinction in a Materials or Mechanical Engineering master’s programme. They will need to submit a curriculum vitae
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PhD studentship is funded by the Department of Electrical and Electronic Engineering (EEE) and includes a stipend of approximately £22,780 per year (tax-free) for three and a half years, home-level
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, chemical, biological or computational science, an interest in theoretical modelling and curiosity about engineering complex biological and biochemical systems. The opportunity to study for a PhD at a world