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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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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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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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• 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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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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against existing imaging data. The group’s long-term vision is to impact clinical practice by identifying characteristic manifestations of age, trauma, and disease on the brain’s form and function. You will
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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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, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics, Chemistry, or Engineering
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on proposing for, and analysing, data with VLBI arrays to study relativistic jets from black holes. They will work with other observers and theoreticians to develop our understanding of black hole jet formation
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We are seeking a Postdoctoral Researcher to join our interdisciplinary food system analysis group at the Oxford Martin School. This ambitious project seeks to use large, data-driven integrated