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study strand displacement technology in more complex, hybrid environments to demonstrate predictive models that can account for these more complex settings. Using molecular-level simulations, basic theory
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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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, 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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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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statistics component Evidence of interest or experience in clinical trials methodology and adaptive designs Funding information stipend (tax free) of £21,843 pa for 3 years + home tuition fees (overseas fees
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London in this area, 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
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, please contact Dr Jun Jiang at jun.jiang@imperial.ac.uk . Further information on research in mechanical engineering at Imperial College London can be found at: https://www.imperial.ac.uk/mechanical
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achieved a First-class honours MEng/MSci or higher degree (or international equivalent) in Aeronautics, Mechanical Engineering, Physics or Materials. How to apply: Submit your application via our Apply
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) under the supervision of Dr Elina Spyrou . Summary of Project: Power systems are central to the transition towards net-zero energy systems, and they are transforming in two ways. First, their generation