97 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "University of London" positions at Imperial College London
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We’re seeking a talented and motivated postdoctoral researcher with experience in cancer or chronic disease epidemiology and strong data analysis skills to join Professor Marc Gunter’s team
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London, the University of Oxford, and GSK to establish a world-leading hub for model-informed medicine. You will also be working alongside Prof Steven Niederer’s computational and Prof Saman Sadiquis
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‑bounded turbulence. This short, intensive 9‑month position offers an exciting opportunity to advance fundamental turbulence research using DNS/LES and data-driven optimisation techniques. In this role, you
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provided with the best environment to achieve their potential. Full information on duties, responsibilities and criteria for the post can be found in the attached job description. Grow in your career with
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statistics component Evidence of interest or experience in clinical trials methodology and adaptive designs Funding information stipend (tax free) of £21,843 pa for 3 years + home tuition fees (overseas fees
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crystallographic analysis of recorded time resolved data sets. You will be expected to carry out research programmes in ultrafast X-ray crystallography, undertake project management and/or supervise multi
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You will provide technical support to the Tate Group with a primary focus on running, optimising, and expanding chemoproteomics workflows. You will be responsible for sample preparation and data
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technical contractors or vendors in a project support or coordination role Experience of presenting statistical information in a variety of electronic formats as well as in person Hands-on experience
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forms. Support data management processes, including uploading data to systems such as Blackboard Learn and Inkpath, and producing attendance reports. Provide administrative support for ECRI projects
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of the post means the incumbent must be able to work confidentially with any sensitive personal and organisational information. As part of the iCARE team you will contribute to the delivery of a translational