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to the Director of the HAB and working in close partnership with the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis
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COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized
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academia or industry to contribute to the development of research programmes and methodologies Grade 8 Qualifications Honours Degree and PhD in an appropriate discipline such as Earth observation, data
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investigates how the unique capabilities of quantum computing can be leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand
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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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research programme at King’s, focussed on establishing a competitive research niche and positioning them to apply for intermediate-level post-doctoral fellowships to consolidate their careers, from Research
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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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, along with an aptitude for developing new experimental techniques that relate to this exciting research program. To be successful with your application, you will need to demonstrate: An awarded PhD in
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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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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