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chemistry, chemical engineering, mechanical engineering, materials, physics or a related subject, and an enquiring and rigorous approach to research together with a strong intellect and disciplined work
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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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Supervisors: Dr Jun Jiang (Reader), Mechanical Engineering Department Deadline for application: 30/04/2026. Early submission is encouraged. Funding mechanisms: Fully funded by EPSRC-IDLA with Tata
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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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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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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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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
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to develop a high-performance disposable analytical tool for the on-site detection of folic acid in several food matrices. This technology is based on our recently developed wireless and batteryless, near