125 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" positions at Imperial College London in United Kingdom
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months in the past three years. Additional Information Work Location(s) Number of offers available1Company/InstituteImperial CollegeCountryUnited KingdomGeofield Contact City London Website http
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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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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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. 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
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to project progress. If you require any further information about the role, please contact: Dr David Labonte at d.labonte@imperial.ac.uk . Attached documents are available under links. Clicking a
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delivery of MSI workflows - including sample preparation, instrument operation, data acquisition, and analysis - identifying areas where innovation is needed and driving method development to address
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of topological and geometric machine learning? Join the CIRCLE group at Imperial College London, led by Dr. Tolga Birdal, in a fully funded postdoctoral research role to lead transformative projects spanning
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Supervisors: Professor Victoria Cornelius, Dr Hadith Rastad, Dr Tim Rawson About the role Sequential Multiple Assignment Randomised Trials (SMARTs) are increasingly used to evaluate multistage