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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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at the CERN accelerator complex, followed by corresponding data analysis. The outcomes of this work are expected to support the HL-LHC Upgrade by identifying possible improvements in dynamic aperture
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, including 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
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steps for antibiotic development. To achieve this exciting goal, you will apply novel single-molecule and super-resolution techniques, and data-analysis methods, while employing a multi-disciplinary
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essential. Informal enquiries may be addressed to Dr. Yangchen Pan: yangchen.pan@eng.ox.ac.uk For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online
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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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well as companies and governmental organisations . They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors
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experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality
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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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. The supporting statement should explain how you meet the essential criteria for the post using clear examples. Please click here for information and advice on writing an effective supporting statement. Further