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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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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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a particular emphasis on neuroscience, mental health, and cancer. We are creating a vibrant community of researchers across both academic and biotech sectors engaged in major research programmes which
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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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, 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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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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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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programmes Academic Fellowships for staff serving in developing country universities Split-site Scholarships for PhD students to spend up to one year in the UK Professional Fellowships for mid-career
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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