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Jealott's Hill. This project aims to revolutionize crop protection discovery by implementing a “biology-first” approach to pathogen analysis, focusing on the development of novel methods for constructing
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– Training and Development. The team is based at Penrhyn Road campus in the Research and Innovation Directorate Offices. We support the Faculties in their delivery of Post Graduate Research Student programmes
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development opportunities, we also offer: 12% employer pension contribution Up to 40 days holiday: 25 days annual leave + 7 University Days + Bank Holiday Travel & family benefits including subsidised rail fare
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successful candidate will need to be able to demonstrate strong technical and IT skills with a focus on reporting data and supporting the development of bespoke systems aimed at monitoring and recording
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background in the medical and health sciences. The successful candidate will be expected to assume a leadership role as a theme lead, module lead or similar, to be active in the development of teaching via
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implementing them in the platform, as appropriate. Maintaining continuing professional development in relevant scientific areas by attending scientific meetings and conferences. Acting as primary point
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on the development, validation and use of organ-chip models. We are particularly focused on the development and use of joint-on-a-chip models including synovium, bone, cartilage, fat along with inflammatory components
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science into benefits for human health and the economy. About the role Our lab aims to understand how functional organs are built during embryonic development, an important problem in biology with
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healthcare, nursing and midwifery professions. The University has invested over £8 million in the development of a state-of-the-art simulation centre, which further enhances our record of teaching, research
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identified parts of a large project. This position offers the opportunity to contribute to cutting-edge research and development in AI for creative industries. Key responsibilities include: Supporting AI4ME R