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Overview An exciting opportunity exists within the IDEA (Intelligent Design of Engineering Alloys) group at the University of Sheffield. The Research Associate employed through this position will
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research programme is to use genetic, molecular and cellular, and imaging/image analysis approaches to understand the development and function of the vertebrate inner ear, the organ of hearing and balance
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computational and offers an opportunity for a student to apply the knowledge of particle and astroparticle physics and detector technology in other areas which are linked to key issues of the contemporary world
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to deliver the pre-registration BSc Speech and Language Therapy (SLT) Degree Apprenticeship programme. The BSc SLT Apprenticeship is delivered online and runs alongside our campus based BMedSci Speech and
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/video analyses, in vivo electrophysiology, fly genetics, flash-freezing Drosophila under controlled illumination, electron microscopy and computational modelling, often engineering custom equipment
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experience, or keen to learn the research knowledge in power systems, cyber-physical systems, computer science, information and communications technologies, and computing and data platforms. The perspective
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detect changes in step quality associated with acquired brain injury?” and involves a programme of laboratory-based work using a smart pressure-sensor based insole and app. We aim to develop biomechanical
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., manuscripts for publication and grant applications. Plan for specific aspects of the research programme. If given a particular hypothesis to examine, plan for own contribution up to 3 months ahead
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GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
applications for the following project. This advert will close when a suitable candidate is identified, so early application is encouraged. The CDT boasts an exciting and challenging programme specifically
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expectation to contribute to scientific publications and demonstrations. Support will be provided by senior colleagues in the Digital Manufacturing Laboratory. You will have completed a First degree in Computer Science