124 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions at Imperial College London
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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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communications, administration and data management. Your work will help strengthen relationships with donors and partners and contribute to successful fundraising outcomes across two dynamic teams. This is a fast
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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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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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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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several conflicting deadlines at once. Strong experience of office administration, managing budgetary information, forecasting and coordinating events. Excellent interpersonal and written communication
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professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career Researcher Institute .Additionally, you will be
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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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and optimisation but not limited to data driven monitoring for control and operation. You must have a good master’s degree in electrical engineering, with Power and Control Engineering major
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by the Medical Research Council, that aims to improve the standardisation, modelling, and analysis of prescription data in Parkinson’s disease, with the goal of predicting medication-related side