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leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models—expressivity
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against different interfering systems. Develop, with colleagues, a spectrum sharing database for use by the JOINER community and design and develop models using AI/ML and other techniques to ensure
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to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Our international group of highly motivated and
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discipline with a growing reputation in research within the subject area. A2 Extensive breadth and depth of knowledge in the specialist subject/discipline to develop research and teaching programmes
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Our international group of highly motivated and
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their proposed programme necessitates a Leverhulme ECF rather than a project grant or alternative postdoctoral fellowship; and why King’s College London is an appropriate host for them and their research project
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The 6G National Research Programme is at the forefront of pioneering research and development in the field of 6G technologies. As part of the Communications Hub for Empowering Distributed Cloud
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responsibilities Research: Contribute to or lead on the statistical aspects of the development of high quality research bids to evaluate the effectiveness of new health technologies, which is recognised both
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independently and as part of a team on research programmes Adept at analysing and interpreting data Able to apply knowledge in a way which develops new intellectual understanding Excellent interpersonal and
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closely together during the project. There will be opportunity for additional training for the successful applicant with our collaborators to develop a wide range of technical expertise in immunology