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of, a PhD (or equivalent) in an appropriate discipline. Have the potential for leadership qualities in the subject, as illustrated, for example, through showing initiative on research projects. Have an
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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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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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of I-X AI in Science women. The I-X Women in Artificial Intelligence (IXWAI ) founded by two of our current Fellows aims to enhance representation of women in AI and foster an environment where
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applications would be particularly beneficial, although not essential. In addition, experience in artificial intelligence, cloud computing, sensor networks and/or data visualisation would also be highly
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commercialisation activities. A world-class, multidisciplinary research environment spanning optics/photonics, nanotechnology, artificial intelligence (AI), and clinical medicine. Fully equipped laboratories
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, our strength in methodological rigour, artificial intelligence, and our contributions to methodological developments are also part of our research strategy. Duties of the Role We wish to appoint a
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skills and attributes for success: A PhD (or equivalent) in a relevant subject (Artificial Intelligence, or Data Science), with training or skills relevant to the project (Python-based data collection and
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. Candidates will: Hold a PhD (or equivalent) in an appropriate discipline. Have the potential for leadership qualities in the subject, as illustrated, for example, through showing initiative on research
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for their career development and a community of I-X AI in Science women. The I-X Women in Artificial Intelligence (IXWAI ) founded by two of our current Fellows aims to enhance representation of women in AI and