103 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" positions at Imperial College London
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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
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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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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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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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in analysis of physiological data, MRI imaging and statistical analysis of crossover design studies and epidemiological datasets. Manage own research and administrative activities. Publish research
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, you will handle sensitive information in line with data protection legislation and Imperial policies, while delivering a courteous, flexible, and customer-focused service in line with Imperial’s Values
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, email: g.frost@imperial.ac.uk or Dr Jia Li, email: jia.li@imperial.ac.uk . For further information on the recruitment process please contact Senior appointments Manager, Maria Monteiro, email: m.monteiro
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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
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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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will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models to build a chemical ‘rule book’ for