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As Senior Computational Biologist, you will: Develop cutting-edge methods to predict which somatic mutations drive clonal expansion Integrate large-scale multimodal omic datasets from healthy and
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, and large-scale inference workflows. The project engages UK-government stakeholders, reflecting its policy relevance. Applicants should hold a postgraduate degree, ideally a doctoral degree in computer
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at each institution as part of the five-year STFC Large Award "TRANSCEND". TRANSCEND is a collaboration between QUB/Lancaster/Oxford/Southampton that will use Vera Rubin/LSST transient data and the 4MOST
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has already demonstrated significant promise in operational settings and will now be further developed and validated to support large-scale commercial deployment. The project focuses on improving
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agents’ capabilities and information flows. Second, we will investigate the use of modern AI techniques to accelerate large-scale formal verification, including AI proof agents for maintaining, extending
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at each institution as part of the five-year STFC Large Award "TRANSCEND". TRANSCEND is a collaboration between QUB/Lancaster/Oxford/Southampton that will use Vera Rubin/LSST transient data and the 4MOST
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research results, with excellent communication skills. About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships
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diabetes, neurocognition, and cardiometabolic disease Functional interpretation of disease-associated genetic variants Integration of single-cell multiome data (snATAC + scRNA-seq) with large-scale human
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As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn
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skills, including econometric and statistical methods, and experience of analysing labour market data. We would particularly welcome experience of using large-scale survey, administrative or linked