49 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"UCL" positions at Imperial College London
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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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outputs with electrochemical performance data from a variety of analytical techniques (e.g. diffusion, conductivity, power density etc) (D) Highly confident and articulate with outstanding communication and
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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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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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Imperial College London invites applications for the following two positions: Assistant Professor in Health Data Analytics Assistant Professor in Environmental Epidemiology and Data Science This is
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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
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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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spans multiple years and involves close coordination between academic units, professional services, digital systems and external requirements. REF 2029 will require the integration of diverse data sources