99 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Warwick" positions at Imperial College London
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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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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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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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Interests’. You have the right to object to us processing your data in this way. For more information about this, your rights, and our approach to Data Protection and Privacy, please visit our website https
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Disclosure and Barring Service (DBS) check, at the appropriate level,will be required for the successful candidate. Further information about the DBS disclosure process can be found at http
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and our excellent professional development opportunities, here: http://www.imperial.ac.uk/jobs/benefits/ We have an opening for a position as a Postdoctoral Research Associate in the Department
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learn about some of our projects at the following link: https://www.imperial.ac.uk/research-and-innovation/support-for-staff/imperial-projects/project-successes/ You will work closely with the Head of
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developing, documenting, and maintaining opensource software related to this project. Further information on the research of Dr. Marios Kogias can be found at https://marioskogias.github.io/ . Research
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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