224 web-programmer-developer-"https:"-"University-of-Cambridge"-"UCL"-"https:" positions at University of Nottingham in United Kingdom
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). This studentship will include a placement at Astra Zeneca, Cambridge and is part of a broader Medical Research Council Programme grant focused to understand mucus regulation in severe asthma. The project will
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or temperature. This project will develop the materials, methods, and designs necessary to 3D-print the next generation of electro-responsive soft-actuators. The overall aim is to develop and exploit new designs
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to produce anti-counterfeit markings, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively
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University Of Nottingham Sport is currently undergoing an ambitious change and investment programme to further support our vision to deliver an outstanding student sporting offer and establish
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team. This is a fantastic opportunity to contribute to the development of future veterinary surgeons and veterinary pathology teaching. The role holder will participate in teaching throughout
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to carry out the Residential Experience programme as part of the wider ResX team. This is a wide-ranging role and the successful candidate will need to be flexible and confident and able to work as part of a
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difficult to deploy outside large data centres. This PhD project focuses on developing resource-efficient computer vision methods that maintain strong performance while dramatically reducing computation
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. The well-being and development of our students is of utmost importance to us, so the successful candidate will take a proactive role in the pastoral support of students. You will also be responsible for a
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– Nottingham, Derby and Lincoln. The successful candidate will work within a large team and lead on providing an effective and efficient assessments provision for the graduate entry programme. You will plan and
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly