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are looking for a strong researcher able to conduct research around formal methods for autonomous robotic systems, with a background of excellent research outputs across formal requirements and formal
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We are seeking a highly motivated and experienced Research Associate (PDRA) to join a multidisciplinary team to evaluate a digital health service technological intervention using mixed methods
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We wish to appoint a talented, enthusiastic and self-motivated researcher with mixed methods/qualitative research skills to work on an NIHR funded research grant in the Division of Nursing
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viral (AAV) vectors. We propose to compare the capabilities of this instrument with that of commercially available mass spectrometry platforms and other methods. As part of this exciting and truly
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information that is processed through a machine learning element. The role will also require regular contributions to a variety of academic tasks, including positively interacting and communicating with
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methods that integrate multiple spatial omics layers with histology and clinical data to predict the spatial organisation of the tumour microenvironment in brain tumours. This position offers an exciting
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-computed tomography (microCT) analysis methods that reveal the 3D structure and evolution of microstructure of concrete non-destructively will be developed within the National X-ray Computed Tomography
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with membrane proteins. Extensive experience in working with membrane proteins and developing related methods Working with other laboratory members to develop methods and contribute in maintaining
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opportunities that have the potential to generate significant beneficial economic, social, and environmental impact where there is Intellectual Property owned by the University. A key element of the Innovation
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The Brockhurst Lab group within the Division of Evolution, Infection and Genomics wishes to appoint a Research Associate to an exciting project exploring the role of mobile genetic elements in