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up to 36 months available from 1st October 2026. More information about the Department of Physics and Theoretical Physics at Imperial and the staff benefits that we offer can be found on our webpages
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high-quality research publications. - Expertise with gravitational wave data analysis in any frequency band is desired but not required. Application Materials Please submit: - Cover letter - CV - List of
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modelling techniques and the embedding of such models within data assimilation frameworks to enable their self-correction. During this project, you will develop expertise in machine learning-based reduced
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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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status at: https://www.imperial.ac.uk/study/pg/fees-and-funding/tuition-fees/fee-status/ . Eligibility: Due to the competitive nature of our studentships, candidates will be expected to achieve/have
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may be required. For more information about the Pears Cumbria School of Medicine, please visit https://cumbriamed.ac.uk If you require any further details on the role please contact: Dr Lesa Kearney
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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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, 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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application of these methods using data collected as a part of the Discern project. You will contribute to the development of the epidemiological and analytical plans, conduct the data analyses, interpret
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. We're here to help. Closing date: Wednesday 11th March, 23:59 hours (Midnight GMT) An online information session will be held on Monday 16th February: please register using this link: https://imperial