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iteratively refine digital models of prototypes. Fabricate these prototypes and help characterising them acoustically. Contribute to potential IP generation. Contribute to commercialisation and impact
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properties. Perform characterization using SEM, confocal microscopy, and thermal imaging tools. Use computational modeling to guide surface design and analyze thermal behaviour. Conduct vacuum testing
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“Good Clinical Practice”). Contribute to the preparation of recruitment materials (information leaflets and consent forms), interview topic guides and the study protocol. Conduct telephone “check-in
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://www.richardslab.org/ In your application please include a cover letter stating how you match the person specification. Role Summary Work within specified industry grant Recruit families to the study Contribute to data
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Economist to join the Macroeconomics team, working with our world renowned NiGEM model. The purpose of the role is to maintain the historical data for NiGEM database and support the macro-modelling team’s
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internationally renowned centre at the forefront of the generation and use of mouse models for the study of human disease. The MLC offers a range of mouse services to support researchers with generation and
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) for the development of a portable, low-cost smartphone-based app incorporating an AI model to be used for point-of-care screening for Specific Learning Difficulties in children. A full-time position for a researcher
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management of a number of functions. This includes Building Information Modelling and Digital Twin processes and models, through capital delivery and maintenance of the models; Ownership of Document and
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flexible working practices, including a hybrid working model, where employees can split their working time between the office and home, support our belief that this balance brings long-lasting benefits
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research group. The successful candidate will benefit from building upon novel datasets, exciting preliminary findings, and using unique experimental model systems. Techniques will include multiple imaging