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“TALKING EMPIRE” project: This project examines the enduring legacies of empire in British politics (1960-2025) through a rhetorical analysis of prime ministers’ uses of the imperial past in public speeches
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer
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spectrometry and ion activation strategies (e.g. EID and photo-dissociation). The project will entail improving the current capability of glycoprotein structural analysis using bottom-up mass spectrometry
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer
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? information page. The Role and Department Durham University’s Department of Archaeology is one of the UK’s best, with an outstanding reputation for excellence in teaching, research and employability of our
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optoelectronics or closely related field. Electro-optical characterisation and measurement of detectors are essential. General tasks will involve scientific research; analysis and interpretation of data; daily
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level of analytical and problem-solving capability Ability to communicate complex information with clarity and to encourage the commitment of others Experience of research with clear transferable skills
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. Appropriate workload/time/project/budget/people management skills. C7. Extensive IT and data analysis/interpretation skills as appropriate. C8. Self-motivation, initiative and independent thought/working. C9
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respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information Page The Role Applications
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correlating findings with analysis of patient material. You will take a lead role in conducting wet lab experimentation, applying state-of-the-art single-cell multiomic approaches, including transcriptomic