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. Further information about the University can be found here . Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us
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assessments to develop clinically useful tools throughout the continuum of treatment. The candidate will investigate and validate tools using clinical data, circulating tumour biomarkers and pathological data
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About the role This role offers an opportunity to contribute to the School’s established strengths in applied statistics, artificial intelligence, machine learning and data science. You will drive
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the current titers through process parameter optimisation and develop a multi sensor flask system to accelerate scale-up data collection . You will focus on the development of continuous fermentation and
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the IT Service Desk, Incident and Problem Management, Change, Configuration and Release Management, Service Delivery and Data Centre Operations. As part of a service delivery team, you will provide a
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to transform how we understand and effectively use data across Imperial. What we are looking for: You will support the Service Transformation Team and the wider Transformation Office in a critical role enabling
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project is supported by a British Academy Global Professorship awarded to Sian Halcrow. The aims of the project are Assay a wide range of collections, establishing information on acquisition and origin
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provided with the best environment to achieve their potential. Full information on duties, responsibilities and criteria for the post can be found in the attached job description. Grow in your career with
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information is captured and shared in a central project management system. Delivering training and information events. It is essential that the RGCM is highly organised, pays close attention to detail, and has
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(cardiometabolic) multiple long term conditions and the comparative effectiveness of interventions using secondary, real-world observational data (Clinical Practice Research Datalink, Hospital Episodes Statistics