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remotely. Skilled in descriptive analysis, data modelling and graphic interfaces. Demonstrated expertise in analytical and statistical tools. We support flexible and family-friendly working and are open to
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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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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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of a Disclosure and Barring Service (DBS) check. The post holder will typically be expected to work on the University of Birmingham campus three or more days per week. The post holder will also be
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characterisation of extracellular vesicles (EVs) from a range of sources as well as high content microscopy and cardio-metabolic phenotyping in rodent models. Our main research interest is in understanding how
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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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pathogens as a model system. There are two post-doctoral research positions and one PhD studentship associated with Dr. McDonald’s UKRI Future Leader Fellowship, which will explore the cell biology
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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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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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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