79 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" uni jobs at Imperial College London
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cutting-edge statistical models in regions where open data is not available. While heatwaves are becoming more frequent and intense across the globe due to climate change, there are persistent challenges in
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to control and communicate sensitive patient information, all the way up to interventional devices and systems for personalised healthcare. We are particularly looking for Research Software Engineers with
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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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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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of the project, plan and prioritise your own research activities, and maintain accurate experimental records and data analysis throughout. You will work collaboratively within the National Alternative Protein
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Imperial College London | Belfast Harbour Estate, Northern Ireland | United Kingdom | about 1 hour ago
across varied property assets; Clear ability to analyse and evaluate often complex data to identify risks and make well considered, pragmatic decisions that demonstrate reliable legal judgement; Excellent
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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
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transition. You will work closely with faculty, departmental teams and central professional services colleagues to coordinate processes, manage information, and support a range of operational tasks. Your work