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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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Are you interested in shaping the future of global water modelling using AI? The Research Associate in AI-Enabled Hydrological Modelling and Data Assimilation will develop innovative methods
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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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Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd. You will be part of MiMeC, a new collaboration applying mechanistic and data-driven
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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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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
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and to subsequently work on the crystallographic analysis of recorded time resolved data sets. You will be expected to carry out research programmes in ultrafast X-ray crystallography, undertake project
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to transform how we understand and effectively use data across Imperial. Imperial is recognised worldwide for being at the forefront of education and research and, at the foundations of our academic excellence