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. The successful candidate will become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS
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for Research Fellowship awards. More information about our College and current Research Fellows and FAQs on the competition can be found on the College website at: https://www.joh.cam.ac.uk/about-us/news-and
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intelligence to use all the information in the electronic patient record to best identify who is at risk of deterioration. We will then investigate how to use this information to escalate the care of women in
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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We are seeking an outstanding, creative researcher with the skills to develop novel, ‘artificially intelligent’ approaches to the application of nanofabrication techniques – see, for example https
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. It will also allow us to build an electronic maternal early warning score, harnessing the power of artificial intelligence to use all the information in the electronic patient record to best identify
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programme in the UK from any other sources. Meet the English language requirement of the UK HEI. Have a background or a proven interest in AI foundations and its application in civil and environmental
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Researcher; Not currently in receipt of financial support or funding towards any other programme in the UK from any other sources; Meet the English language requirement of the UK HEI; Have a background or a
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research spaces for academics and their collaborators. In addition, the University of Birmingham offers exceptional High Performance Computing facilities, including through the Tier-2 Baskerville system
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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