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programme. This is an exceptional opportunity to gain experience in medical device innovation, translational research, and clinical validation. The ideal candidate will have a background in biomedical or
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collaboration tools, such as Google Meet. Help design future research challenges through the preparation and publication of data, software, and web-based documentation (eg Google Docs). Collaborate and
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. The successful applicant will use a variety of imaging and computational image analysis techniques to generate a 3D morphometric atlas of post-embryonic stages of otic development in the wild-type zebrafish, with
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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collaboration tools, such as Google Meet. Help design future research challenges through the preparation and publication of data, software, and web-based documentation (eg Google Docs). Collaborate and
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backgrounds and are committed to fostering an inclusive environment where everyone can thrive. Main duties and responsibilities Assist in the development and implementation of automated testing and debugging
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, statistical and/or econometric analysis, and developing non-randomised study designs for the evaluation of care technologies or services. ● Write up research methods and findings within reports
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for Health and Care Research (NIHR) Sheffield Clinical Research Facility (CRF) and Biomedical Research Centre (BRC). These fellowships will enable the successful candidates to combine broad practical
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both quantitative and qualitative methods. The post-holder will be based in the Wellbeing of Individuals and Society research cluster within the School and will assist with data analysis, writing up
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homeostasis in the brain with a particular focus on oxygen regulation. Since neuronal computation is tightly coupled with oxygen availability, Isabel is interested in how metabolic mechanisms fail as people age