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commitment to equal opportunities and gender balance in the workplace. The Faculty recognises that applicants may seek flexible working patterns which will be considered as part of the recruitment process. For
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. The Faculty recognises that applicants may seek flexible working patterns which will be considered as part of the recruitment process. For further information including key benefits designed to help maintain
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. The post is intended for an applicant within any of these three specialities, with the speciality of the final (single) post dependent on the successful applicant. The post-holder will be pursuing
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clinical specialties: General Surgery, Respiratory or Paediatrics. The post is intended for an applicant within any of these three specialities, with the speciality of the final (single) post dependent
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-time The Faculty of Medicine wishes to appoint an NIHR Academic Clinical Lecturer, hosted by one of the following clinical specialties: General Surgery, Respiratory or Paediatrics. The post is intended
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of installation. Your work will include the development of advanced numerical models of the transition system, alongside the testing of a scaled prototype structure to demonstrate proof of concept. You will lead
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efficiency, durability, and ease of installation. Your work will include the development of advanced numerical models of the transition system, alongside the testing of a scaled prototype structure to
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to experimental campaigns and will use image-derived structures (including XCT images where available) to develop mechanistic, validated mathematical multiscale models. We are recruiting a Postdoctoral Research
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including Galleria mellonella and mice. The role will also involve using a range of molecular biology approaches, live cell imaging and the generation and analysis of multi-omics data sets. The successful
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molecular biology approaches, live cell imaging and the generation and analysis of multi-omics data sets. The successful candidate will be responsible for accurate and efficient data generation, data