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learning systems. Reporting to the principal investigator, Professor Christopher Summerfield, the post holder will be a member of the Human Information Processing Lab. They will be responsible for carrying
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immediately until 31st March 2028, with the possibility of extension. The post is part of a Wellcome Trust Collaborative grant ‘Harnessing epidemiological and genomic data for understanding of respiratory virus
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a social science discipline (or a relevant data science field), have interest and research in the field of economic and experience in data management and analysis. You have demonstrable experience
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lab has developed the OrthoFinder comparative genomic methods. OrthoFinder has become widely-used in comparative genomics research, it powers many popular databases of online genomic information, and
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project focused on systematically exploring the impact of the exposome on complex disease risk, through the lens of multi-omics data (e.g., genomics, proteomics, metabolomics and biochemistry) from large
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climate and environmental goals. In this role, you’ll be part of a collaborative team designing useful advice and tools for farmers, managing and analysing agricultural data, and leading your own areas
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• Constrained experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code
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of healthy aging using cutting-edge single-cell and AI-based tools, as well as population cohort data. You will be an integral member of the Awadalla lab, working with some of the world’s largest single-cell
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three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and high-profile publications. In this role you will lead on the delivery of the assigned CoRE research
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quantum field theory, condensed matter physics and/or quantum information theory. Applicants will be expected to have, or be close to completing, a PhD in theoretical or mathematical physics or a closely