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. You will hold a Doctoral (or be near completion) degree in epidemiology, biostatistics, real world evidence, health data sciences, or a related field. You will have experience in the use of R
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from design optimization using EM simulations, engineering / construction of the RF coil and safety validation. This will also involve close collaboration with the Nottingham MRI group and users
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disability. Ranked in the top 10 in the 2014 Research Excellence Framework, Queen Mary University of London, is one of the UK's leading research-intensive higher education institutions, delivering world class
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Therapeutic Targets’. You will join a dynamic and successful research group. You will be based at the University of Leicester Clinical Sciences building at Glenfield Hospital. Research infrastructure includes a
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supported to formulate and develop your own scientific questions within the scope of the group’s interests. The position offers an exciting opportunity to work at the world-class biomedical research institute
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International Science Partnership Funded project “Data-Driven Surrogate Modelling for Liquid Ammonia Direct Injection Spray Characteristics”. About You The successful applicant will have, or soon obtain, a PhD
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. The University is located within a beautiful historic city, home to a UNESCO World Heritage Site, and surrounded by stunning countryside. Our talented scholars and researchers from around the world are tackling
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of this approach through the use of 3D in vitro models. This position is based in the School of Engineering & Materials Science, home to QMULs Centre for Bioengineering. The School has an international award
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globally by blending the rigour of high-quality impactful research with excellent teaching and the strengths of a technology-led university. We are ranked in the top 10 for business and economics in
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Futures for Zero Carbon Mobility (INFUZE) is a major £7.8m five-year research grant funded by the Engineering and Physical Sciences Research Council. Working across the Universities of Leeds, Lancaster and