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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly
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of international excellence. Develop research objectives and proposals for own and/or collaborative research area. Prepare papers for publication in leading journals and/or contribute to the dissemination
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in business administration for the development of University of Nottingham Ningbo China research agenda. Your Responsibility Your key responsibilities include: To formulate and articulate research
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Management practice and policies. The first project, PROBITY, is developing a Platform to Rate Organisms Bred for Improved Traits and Yield. The successful candidate will work closely with Dr Stacia
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practice dataset, which is linked to cancer records. This contains information on almost 4000 people who have never smoked and who developed lung cancer. We will identify all records of LCIPNS patients
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Applications are invited for an ambitious Postdoctoral Research Associate/Fellow to work on the development of new optical memristor devices. Memristor (or resistive memory) is a form of non
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administration for the development of University of Nottingham Ningbo China research agenda. Your Responsibility Your key responsibilities include: To formulate and articulate research objectives, alongside
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smoked and who developed lung cancer. We will identify all records of LCIPNS patients, provide a detailed description of these patients and explore what happens to them in the 2-years before
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of Nottingham is a core partner in the ARPA-H BREATHE programme’s SCALE project, an international collaboration developing the world’s first real-time infection-risk management platform for indoor environments
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, an international collaboration developing the world’s first real-time infection-risk management platform for indoor environments. You will contribute to Technical Area 2 (Respiratory Risk Assessment), developing and