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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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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
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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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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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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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on industrial datasets and align with drug-development questions A PhD and equivalent experience in Biomedical Engineering, Computer Science, Data Science, AI/ML, Computational Biology, or a related field
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The post is within the Thanzi La Mawa programme. The primary objective of this team is to improve population health and reduce health inequalities by helping to enhance the efficiency and equity
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expected. The ideal candidate will hold a PhD (or equivalent experience) in Engineering, Computer Science, Mathematics, or a closely related discipline. They will have a strong foundation in one or more of
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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