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an exciting opportunity to join the School of Public Health (SPH) on Imperial’s new White City campus. You will play a leading role in the development of research and teaching in health data analytics
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-motivated applicant wishing to develop a career in a world leading teaching and research institution. The Department has an outstanding international reputation and has been awarded the top rating in every
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enzymes in cancer and gastrointestinal diseases. Your approach to research must converge disciplines combining methods from cell and molecular biology, chemistry, engineering and medical research to develop
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Institute at Imperial , which is hosted in the Department of Brain Sciences. This is an excellent opportunity to work in an area of rapid development, alongside colleagues who are working on novel projects
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on the role please contact: Ramona Oana Dobrea, Hospitality Sales Development Manager by email – o.dobrea@Imperial.ac.uk . Closing Date: Midnight on Wednesday, 8 April 2026 Attached documents are available
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they would be expected to register for a higher degree (PhD). You must be able to demonstrate some previous experience in research and must show evidence of ability to develop personal research projects
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challenges, from workforce planning to performance and development. You’ll create strong working relationships to support the business to access key people services within the central function. As the Head of
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designing lipid formulations; developing microbubble-liposome complexes; loading drugs into liposomes; characterising the microbubble and liposome properties; testing the acoustically-triggered drug release
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of improvement opportunities. A key input to your insights development will be benchmarking information readily available through on-going memberships, to bring fresh ideas and methodologies from our sector peers
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supervisors Dr. Andrew Scott (imaging physics), National Heart and Lung Institute/RBH and Professor Denis Doorly (computational modelling), Aeronautics, Imperial. The research will develop our computational